Senior Full-Stack Engineer
ABOUT ODAIA
ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to “tools of the trade.”
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
As a Senior Full-Stack Engineer , you possess the passion, curiosity, and motivation to design and implement solutions end-to-end. You are laser-focused on bringing value to end-users and have amazing attention to detail. You are a high-impact individual contributor with a strong sense of ownership in the product you are working. You can also effectively mentor and help develop the skills of the other individuals within the team. You bring considerable knowledge and experience delivering production-quality code for medium to large scale products, building software from the ground up and an understanding of the full development cycle.
The MAPTUAL Platform transforms complex data analysis into simple, actionable, and explainable recommendations. It combines AI and engineering capabilities, designed in scalable, microservice driven architecture, built completely on AWS. MAPTUAL utilizes a range of capabilities, including standalone applications via RESTful APIs and the ability to integrate into industry leading platforms such as Veeva and Salesforce. MAPTUAL delivers dynamic predictive insights, actual value based segmentation and opportunistic next steps. Identifying a list of the most valuable customers, then curating when and how to get in touch.
WHAT YOU WILL DO Directly contribute to solving some of the most exciting and challenging problems while building a great software product in a dynamic, agile startup environment Design, build, and deploy scalable and secure software on AWS using technologies such as ECS, RDS, MySQL, MongoDB, DynamoDB, Lambda, S3, API Gateway, Cognito, SQS, etc. Participate in all aspects of the product life cycle including conceptual design, development, deployment, operations and code reviews Facilitate and participate in inter-team and cross-functional collaboration Follow best practices and strive for technical and product domain expertise Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices Encourage, mentor, and coach members of the product development team Assist with the setup of best practices and develop technical and product domain expertise Ensure code quality and maintainability by fully understanding architecture and tech stack, and participate in refactoring, creating standards, and improving build and test systems
WHAT YOU BRING Minimum 4 years of industry experience Understand that coding is a craft to hone rather than a tool to use Solid understanding of data structures, algorithms, object-oriented design, functional design, and other design principles/patterns Advanced understanding of professional development techniques such as Test Driven Development Initiates collaboration with your team to via one-on-one mentorship or pair programming Experience implementing DevOps best practices such as CI/CD Skilled in performant SQL schema and query design Expert in at least one of the following technologies: Python, Javascript/Node.js, Highly experienced in AWS stack or an equivalent cloud platform Understanding of data science or data analytics Knowledge of cross-browser, cross-platform, security, and design constraints on the web Experience in React, Redux, CSS3, Ajax, or JQuery Understanding of data science or data analytics is highly beneficial Self-directed, take initiative, and excellent project management skills Effectively assist with guiding the team to move the product forward Adjusts quickly to changing priorities and copes effectively with complexity and ambiguity Has exceptional communication skills, understand how to influence to both technical and non-technical teams A continuous learner who seeks and welcomes feedback to improve yourself and your craft Grand vision, low ego, and able to make a big impact
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we’re in it for the long haul! If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Senior ML Platform Engineer
ABOUT ODAIA
ODAIA noun o·da·ia | \ 'oh-day-yeah \ An Ancient Greek word referring to “tools of the trade.”
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
Reporting to the Engineering Development Manager , the Senior ML Platform Engineer is experienced, creative and passionate about building best practice Machine Learning pipelines and operations. The successful candidate will work closely with other feature teams; collaborating cross-functionally throughout the development process to ensure the product is functionally complete and technically solid. This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role.
WHAT YOU WILL DO
Design and build scalable and resilient architectures supporting ML solutions across various data tiers, from moderate to massive-scale datasets. Collaborate closely with Data and ML Engineering teams to identify, analyze, and resolve bottlenecks in ML workflows. Develop and maintain robust CI/CD pipelines specifically tailored for machine learning model deployment, ensuring rapid integration and iteration cycles. Implement and champion industry-standard best practices for ML model deployment, operational management, and lifecycle maintenance. Efficiently manage cloud infrastructure resources, optimizing for cost, performance, and scalability across multiple data sizes. Provide technical leadership and guidance to other engineers, fostering effective solution implementation and deployment strategies. Demonstrate deep expertise in AWS, along with proficiency in other major cloud platforms like Azure and GCP, continuously optimizing cloud infrastructure for ML workloads. Document technical solutions comprehensively and facilitate knowledge-sharing sessions to promote best practices across teams. Continuously explore, evaluate, and integrate emerging technologies and methodologies relevant to machine learning infrastructure. Ensure rigorous standards for data security and compliance, particularly when handling sensitive data, and proactively implement security protocols and compliance frameworks.
WHAT YOU BRING
4+ years of experience as an ML Platform Engineer or similar role, preferably within a SaaS environment. Deep expertise in cloud infrastructure and architecture, including container orchestration (EKS, ECS), cloud networking (VPC, Subnets), and designing highly scalable, cost-efficient cloud environments. Proven proficiency in Infrastructure as Code tools and methodologies (e.g., Terraform, OpenTofu, Terragrunt) to manage cloud resources effectively. Strong proficiency in data engineering fundamentals: data ingestion, storage solutions, pipeline optimization, data lakes, and columnar data storage (e.g., DuckDB, Apache Iceberg, Snowflake). Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, PyTorch, XGBoost), alongside model monitoring and validation tools (MLflow, Great Expectations) and orchestration frameworks (e.g., Dagster) . Proven skill with containerization technologies (Docker, Podman) and container management best practices. Strong understanding and implementation of security standards, IAM roles, encryption protocols (SSL/TLS), and compliance frameworks such as GDPR and CCPA. Advanced software development skills in Python, emphasizing object-oriented design principles and high-quality, maintainable code. Proficient in REST and gRPC API development, specifically using frameworks like FastAPI and integration with API gateways (e.g., Kong Gateway). Exceptional communication skills, capable of articulating technical concepts clearly, guiding collaborative efforts, and comfortably adapting to rapidly evolving requirements. If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we’re in it for the long haul!
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Senior Machine Learning Engineer
ABOUT ODAIA
ODAIA noun o·da·ia | \ 'oh-day-yeah \ An Ancient Greek word referring to “tools of the trade.”
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role. Reporting to the Engineering Development Manager , the Senior Machine Learning Engineer will lead the development and enhancement of cutting-edge machine learning models and advanced analytics that directly drive customer value. Leveraging deep expertise in ML algorithms and large-scale data modeling, you will conduct research, experiment with novel techniques, and deploy innovative solutions that shape our predictive insights. You'll collaborate closely with data engineers and product teams across the organization to ensure our products leverage best-in-class AI capabilities, delivering robust, scalable, and impactful solutions.
WHAT YOU WILL DO
Develop, implement, and optimize advanced machine learning models, focusing heavily on predictive modeling, time-series analysis, causal inference, and hierarchical modeling Research and experiment with novel machine learning approaches to solve complex predictive problems and enhance customer insights. Design and build scalable machine learning pipelines, ensuring efficient data workflows and robust data handling practices Rigorously evaluate and iteratively enhance machine learning model performance using appropriate statistical methods and validation frameworks Own end-to-end responsibility for the ML model lifecycle—from problem definition and exploratory analysis to deployment, monitoring, and iteration Clearly articulate complex modeling concepts, insights, and analytical outcomes to both technical colleagues and business stakeholders Ensure solutions delivered are scalable, high-quality, and promptly address evolving customer needs and business objectives. Continuously assess and integrate new advances in machine learning research, statistical methodologies, and analytical techniques into existing frameworks. Foster collaborative relationships, emphasizing effective communication and proactive knowledge sharing within and across teams.
WHAT YOU BRING
5+ years of professional experience in developing and deploying advanced machine learning models, particularly in data science or analytics-intensive environments. Strong proficiency in Python, with extensive experience in statistical analysis and machine learning libraries (e.g., Scikit-learn, XGBoost, PyTorch) and orchestration frameworks (e.g., Dagster). Demonstrated expertise in causal inference, predictive modeling, hierarchical modeling, and advanced statistical methods for analyzing complex data structures, including time-series data. Solid understanding of statistical validation methods, experimental design, hypothesis testing, and rigorous model evaluation metrics. Proven track record in conducting exploratory data analysis, feature engineering, and interpreting complex model outcomes clearly and effectively. Ability to design and iterate upon robust, research-driven machine learning solutions, from initial concept through deployment and continuous improvement. Familiarity with cloud-based ML environments (AWS, Azure, GCP), especially related to data science workflows and analytical toolsets. Strong foundation in software engineering best practices, including version control, code readability, documentation, and reproducible research. Excellent analytical thinking skills, combined with the ability to clearly communicate data-driven insights and recommendations to both technical and non-technical stakeholders. A passion for continuous learning and applying the latest advancements from machine learning and data science research to practical business problems. If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
WHAT WE OFFER
A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we’re in it for the long haul!
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Full Stack, Machine Learning Engineer
Full-Time / Permanent
ABOUT ODAIA
ODAIA noun o·da·ia | \ 'oh-day-yeah \ An Ancient Greek word referring to “tools of the trade.”
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
Join a rapidly growing team in a technically challenging and rewarding role! Reporting to the Machine Learning Data Scientist Development Manager, the Full Stack Machine Learning Engineer – LLM is passionate about designing, building, and deploying innovative AI solutions from concept to production. In this role, you will be responsible not only for cutting-edge machine learning and LLM work but also for architecting robust data pipelines and web application MVPs, including secure AWS orchestration.
WHAT YOU WILL DO
End-to-End AI Development: Lead the development and seamless integration of Large Language Models (LLMs) into our core products, such as Maptual Field & Maptual Sphere Full-Stack Pipeline Engineering: Architect, build, and manage data pipelines and secure cloud-based (AWS) infrastructures that support scalable AI applications Rapid Prototyping & MVP Creation: Develop web applications and prototypes to quickly iterate on new ideas, ensuring that innovative concepts translate into viable products Cross-Functional Collaboration: Work closely with diverse teams to identify opportunities where AI can solve complex problems and drive business value. Concept Simplification: Translate complex LLM, NLP, and software engineering concepts into clear, actionable insights for nontechnical stakeholders Innovation in AI and Software: Combine your software development experience with your machine learning expertise to drive novel approaches, including prompt engineering, retrieval augmented generation (RAG), and transformer-based architectures
WHAT YOU BRING
Proven Engineering Background: 4+ years of experience in roles focused on machine learning and software development, with a strong foundation in pipeline engineering and full-stack product delivery Solid Understanding of Machine Learning Principles: Deep familiarity with fundamental ML concepts and best practices, enabling you to translate theory into robust, production-level solutions Full-Stack Skill Set: Demonstrated ability to take an idea from concept to MVP using modern web frameworks and AWS-based infrastructure, ensuring robust, secure, and scalable deployments Advanced ML & LLM Knowledge: Up-to-date experience with Large Language Models, including practical skills in prompt engineering, RAG techniques, and transformer architectures. Technical Expertise: Proficiency in Python and related technologies, with a strong grasp of software engineering principles to deliver efficient, clean, and maintainable code Collaborative Communication: Exceptional ability to articulate technical concepts in accessible language to both technical and nontechnical audiences Creative Problem-Solving: A self-starter attitude with a track record of innovative thinking and practical execution in complex, evolving technical environments Team-Centric Mindset: A commitment to working in a diverse and inclusive team, where collaboration, respect, and trust are paramount.
WHAT WE OFFER
A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we’re in it for the long haul! If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality.
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with inters
Senior Machine Learning Engineer
ABOUT ODAIA
ODAIA noun o da ia 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."
You can also find more information about the company and our products at odaia.ai . ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world's largest pharma commercial teams grow their brands by engaging HCPs at the right time-when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers-healthcare professionals (HCPs)-and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don't have to. We live by the notion that "simplicity is the ultimate sophistication;" and making simplicity scalable is an even bigger challenge. That's why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We're also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You're on a mission too? We're here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT'S ON OFFER
This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role. Reporting to the Engineering Development Manager , the Senior Machine Learning Engineer will lead the development and enhancement of cutting-edge machine learning models and advanced analytics that directly drive customer value. Leveraging deep expertise in ML algorithms and large-scale data modeling, you will conduct research, experiment with novel techniques, and deploy innovative solutions that shape our predictive insights. You'll collaborate closely with data engineers and product teams across the organization to ensure our products leverage best-in-class AI capabilities, delivering robust, scalable, and impactful solutions.
WHAT YOU WILL DO
Develop, implement, and optimize advanced machine learning models, focusing heavily on predictive modeling, time-series analysis, causal inference, and hierarchical modeling Research and experiment with novel machine learning approaches to solve complex predictive problems and enhance customer insights. Design and build scalable machine learning pipelines, ensuring efficient data workflows and robust data handling practices Rigorously evaluate and iteratively enhance machine learning model performance using appropriate statistical methods and validation frameworks Own end-to-end responsibility for the ML model lifecycle-from problem definition and exploratory analysis to deployment, monitoring, and iteration Clearly articulate complex modeling concepts, insights, and analytical outcomes to both technical colleagues and business stakeholders Ensure solutions delivered are scalable, high-quality, and promptly address evolving customer needs and business objectives. Continuously assess and integrate new advances in machine learning research, statistical methodologies, and analytical techniques into existing frameworks. Foster collaborative relationships, emphasizing effective communication and proactive knowledge sharing within and across teams.
WHAT YOU BRING
5+ years of professional experience in developing and deploying advanced machine learning models, particularly in data science or analytics-intensive environments. Strong proficiency in Python, with extensive experience in statistical analysis and machine learning libraries (e.g., Scikit-learn, XGBoost, PyTorch) and orchestration frameworks (e.g., Dagster). Demonstrated expertise in causal inference, predictive modeling, hierarchical modeling, and advanced statistical methods for analyzing complex data structures, including time-series data. Solid understanding of statistical validation methods, experimental design, hypothesis testing, and rigorous model evaluation metrics. Proven track record in conducting exploratory data analysis, feature engineering, and interpreting complex model outcomes clearly and effectively. Ability to design and iterate upon robust, research-driven machine learning solutions, from initial concept through deployment and continuous improvement. Familiarity with cloud-based ML environments (AWS, Azure, GCP), especially related to data science workflows and analytical toolsets. Strong foundation in software engineering best practices, including version control, code readability, documentation, and reproducible research. Excellent analytical thinking skills, combined with the ability to clearly communicate data-driven insights and recommendations to both technical and non-technical stakeholders. A passion for continuous learning and applying the latest advancements from machine learning and data science research to practical business problems. If you think you may not check every box, don't worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
WHAT WE OFFER
A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we're in it for the long haul!
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Senior ML Platform Engineer
ABOUT ODAIA
ODAIA noun o da ia 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."
You can also find more information about the company and our products at odaia.ai . ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world's largest pharma commercial teams grow their brands by engaging HCPs at the right time-when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers-healthcare professionals (HCPs)-and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don't have to. We live by the notion that "simplicity is the ultimate sophistication;" and making simplicity scalable is an even bigger challenge. That's why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We're also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You're on a mission too? We're here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT'S ON OFFER
Reporting to the Engineering Development Manager , the Senior ML Platform Engineer is experienced, creative and passionate about building best practice Machine Learning pipelines and operations. The successful candidate will work closely with other feature teams; collaborating cross-functionally throughout the development process to ensure the product is functionally complete and technically solid. This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role.
WHAT YOU WILL DO
Design and build scalable and resilient architectures supporting ML solutions across various data tiers, from moderate to massive-scale datasets. Collaborate closely with Data and ML Engineering teams to identify, analyze, and resolve bottlenecks in ML workflows. Develop and maintain robust CI/CD pipelines specifically tailored for machine learning model deployment, ensuring rapid integration and iteration cycles. Implement and champion industry-standard best practices for ML model deployment, operational management, and lifecycle maintenance. Efficiently manage cloud infrastructure resources, optimizing for cost, performance, and scalability across multiple data sizes. Provide technical leadership and guidance to other engineers, fostering effective solution implementation and deployment strategies. Demonstrate deep expertise in AWS, along with proficiency in other major cloud platforms like Azure and GCP, continuously optimizing cloud infrastructure for ML workloads. Document technical solutions comprehensively and facilitate knowledge-sharing sessions to promote best practices across teams. Continuously explore, evaluate, and integrate emerging technologies and methodologies relevant to machine learning infrastructure. Ensure rigorous standards for data security and compliance, particularly when handling sensitive data, and proactively implement security protocols and compliance frameworks.
WHAT YOU BRING
4+ years of experience as an ML Platform Engineer or similar role, preferably within a SaaS environment. Deep expertise in cloud infrastructure and architecture, including container orchestration (EKS, ECS), cloud networking (VPC, Subnets), and designing highly scalable, cost-efficient cloud environments. Proven proficiency in Infrastructure as Code tools and methodologies (e.g., Terraform, OpenTofu, Terragrunt) to manage cloud resources effectively. Strong proficiency in data engineering fundamentals: data ingestion, storage solutions, pipeline optimization, data lakes, and columnar data storage (e.g., DuckDB, Apache Iceberg, Snowflake). Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, PyTorch, XGBoost), alongside model monitoring and validation tools (MLflow, Great Expectations) and orchestration frameworks (e.g., Dagster) . Proven skill with containerization technologies (Docker, Podman) and container management best practices. Strong understanding and implementation of security standards, IAM roles, encryption protocols (SSL/TLS), and compliance frameworks such as GDPR and CCPA. Advanced software development skills in Python, emphasizing object-oriented design principles and high-quality, maintainable code. Proficient in REST and gRPC API development, specifically using frameworks like FastAPI and integration with API gateways (e.g., Kong Gateway). Exceptional communication skills, capable of articulating technical concepts clearly, guiding collaborative efforts, and comfortably adapting to rapidly evolving requirements. If you think you may not check every box, don't worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we're in it for the long haul!
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Senior Full-Stack Engineer
ABOUT ODAIA
ODAIA noun o da ia 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world's largest pharma commercial teams grow their brands by engaging HCPs at the right time-when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers-healthcare professionals (HCPs)-and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don't have to. We live by the notion that "simplicity is the ultimate sophistication;" and making simplicity scalable is an even bigger challenge. That's why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We're also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You're on a mission too? We're here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT'S ON OFFER
As a Senior Full-Stack Engineer , you possess the passion, curiosity, and motivation to design and implement solutions end-to-end. You are laser-focused on bringing value to end-users and have amazing attention to detail. You are a high-impact individual contributor with a strong sense of ownership in the product you are working. You can also effectively mentor and help develop the skills of the other individuals within the team. You bring considerable knowledge and experience delivering production-quality code for medium to large scale products, building software from the ground up and an understanding of the full development cycle.
The MAPTUAL Platform transforms complex data analysis into simple, actionable, and explainable recommendations. It combines AI and engineering capabilities, designed in scalable, microservice driven architecture, built completely on AWS. MAPTUAL utilizes a range of capabilities, including standalone applications via RESTful APIs and the ability to integrate into industry leading platforms such as Veeva and Salesforce. MAPTUAL delivers dynamic predictive insights, actual value based segmentation and opportunistic next steps. Identifying a list of the most valuable customers, then curating when and how to get in touch.
WHAT YOU WILL DO Directly contribute to solving some of the most exciting and challenging problems while building a great software product in a dynamic, agile startup environment Design, build, and deploy scalable and secure software on AWS using technologies such as ECS, RDS, MySQL, MongoDB, DynamoDB, Lambda, S3, API Gateway, Cognito, SQS, etc. Participate in all aspects of the product life cycle including conceptual design, development, deployment, operations and code reviews Facilitate and participate in inter-team and cross-functional collaboration Follow best practices and strive for technical and product domain expertise Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices Encourage, mentor, and coach members of the product development team Assist with the setup of best practices and develop technical and product domain expertise Ensure code quality and maintainability by fully understanding architecture and tech stack, and participate in refactoring, creating standards, and improving build and test systems
WHAT YOU BRING Minimum 4 years of industry experience Understand that coding is a craft to hone rather than a tool to use Solid understanding of data structures, algorithms, object-oriented design, functional design, and other design principles/patterns Advanced understanding of professional development techniques such as Test Driven Development Initiates collaboration with your team to via one-on-one mentorship or pair programming Experience implementing DevOps best practices such as CI/CD Skilled in performant SQL schema and query design Expert in at least one of the following technologies: Python, Javascript/Node.js, Highly experienced in AWS stack or an equivalent cloud platform Understanding of data science or data analytics Knowledge of cross-browser, cross-platform, security, and design constraints on the web Experience in React, Redux, CSS3, Ajax, or JQuery Understanding of data science or data analytics is highly beneficial Self-directed, take initiative, and excellent project management skills Effectively assist with guiding the team to move the product forward Adjusts quickly to changing priorities and copes effectively with complexity and ambiguity Has exceptional communication skills, understand how to influence to both technical and non-technical teams A continuous learner who seeks and welcomes feedback to improve yourself and your craft Grand vision, low ego, and able to make a big impact
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we're in it for the long haul! If you think you may not check every box, don't worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Full Stack, Machine Learning Engineer
Full-Time / Permanent
ABOUT ODAIA
ODAIA noun o da ia 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."
You can also find more information about the company and our products at odaia.ai . ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world's largest pharma commercial teams grow their brands by engaging HCPs at the right time-when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers-healthcare professionals (HCPs)-and predict prescribing behaviors.
Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don't have to. We live by the notion that "simplicity is the ultimate sophistication;" and making simplicity scalable is an even bigger challenge. That's why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
We're also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You're on a mission too? We're here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT'S ON OFFER
Join a rapidly growing team in a technically challenging and rewarding role! Reporting to the Machine Learning Data Scientist Development Manager, the Full Stack Machine Learning Engineer - LLM is passionate about designing, building, and deploying innovative AI solutions from concept to production. In this role, you will be responsible not only for cutting-edge machine learning and LLM work but also for architecting robust data pipelines and web application MVPs, including secure AWS orchestration.
WHAT YOU WILL DO
End-to-End AI Development: Lead the development and seamless integration of Large Language Models (LLMs) into our core products, such as Maptual Field & Maptual Sphere Full-Stack Pipeline Engineering: Architect, build, and manage data pipelines and secure cloud-based (AWS) infrastructures that support scalable AI applications Rapid Prototyping & MVP Creation: Develop web applications and prototypes to quickly iterate on new ideas, ensuring that innovative concepts translate into viable products Cross-Functional Collaboration: Work closely with diverse teams to identify opportunities where AI can solve complex problems and drive business value. Concept Simplification: Translate complex LLM, NLP, and software engineering concepts into clear, actionable insights for nontechnical stakeholders Innovation in AI and Software: Combine your software development experience with your machine learning expertise to drive novel approaches, including prompt engineering, retrieval augmented generation (RAG), and transformer-based architectures
WHAT YOU BRING
Proven Engineering Background: 4+ years of experience in roles focused on machine learning and software development, with a strong foundation in pipeline engineering and full-stack product delivery Solid Understanding of Machine Learning Principles: Deep familiarity with fundamental ML concepts and best practices, enabling you to translate theory into robust, production-level solutions Full-Stack Skill Set: Demonstrated ability to take an idea from concept to MVP using modern web frameworks and AWS-based infrastructure, ensuring robust, secure, and scalable deployments Advanced ML & LLM Knowledge: Up-to-date experience with Large Language Models, including practical skills in prompt engineering, RAG techniques, and transformer architectures. Technical Expertise: Proficiency in Python and related technologies, with a strong grasp of software engineering principles to deliver efficient, clean, and maintainable code Collaborative Communication: Exceptional ability to articulate technical concepts in accessible language to both technical and nontechnical audiences Creative Problem-Solving: A self-starter attitude with a track record of innovative thinking and practical execution in complex, evolving technical environments Team-Centric Mindset: A commitment to working in a diverse and inclusive team, where collaboration, respect, and trust are paramount.
WHAT WE OFFER
A strong values based culture, we Ignite Innovation , Own It and Stand Together Tremendous growth and unique learning opportunities A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock An open and flexible vacation policy Stock option grants Career development opportunities, and a solid business model - we're in it for the long haul! If you think you may not check every box, don't worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality.
LOCATION
We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with inters
Manager, Technical Implementation
Full-Time / Permanent
ABOUT ODAIA
ODAIA noun o·da·ia | \ 'oh-day-yeah \ An Ancient Greek word referring to “tools of the trade.”
You can also find more information about the company and our products at odaia.ai. ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
WHAT’S ON OFFER
As Manager, Technical Implementations , you will lead a team responsible for configuring, implementing, and optimizing our AI-driven platform for customers. You will oversee technical solution delivery, drive process improvements, and ensure seamless customer onboarding and integration. Reporting to the Director, Engineering Developmen t, you will act as a key liaison between technical teams and customers, ensuring smooth deployments and high-quality data processing.
WHAT YOU WILL DO
Lead and mentor a team of Technical Implementation Specialists, providing guidance and best practices for seamless customer deployments Oversee customer onboarding and technical implementations, ensuring a smooth transition and system integration Collaborate with clients and internal teams to define technical requirements and tailor solutions to their needs Design and optimize ETL workflows, leveraging automation for repeatable, high-quality data ingestion Manage integration of customer data into ODAIA’s platform, ensuring accuracy and performance Utilize modern data tools (e.g., PySpark, Snowflake) to explore, troubleshoot, and resolve issues with ETL and system configuration Ensure timely and high-quality data deliveries, maintaining data integrity and compliance with industry standards Continuously seek opportunities to improve implementation processes, increase automation, and reduce manual effort Drive cross-functional collaboration, ensuring alignment between customer success, engineering, and product teams
WHAT YOU BRING
Leadership experience in managing technical teams, particularly in software implementation, customer onboarding, or data integration. Strong technical foundation: proficiency in Python, SQL, and cloud platforms (AWS preferred) Expertise in ETL and data integration with large data technologies such as PySpark and Snowflake Experience working with APIs and integration frameworks to connect platforms and automate data flows Familiarity with industry-specific tools such as Veeva Vault, Salesforce, and other CRM or data management platforms Exceptional problem-solving skills with a customer-centric mindset, ensuring a seamless experience for clients Excellent communication and stakeholder management skills, able to bridge the gap between technical and non-technical teams
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together A high calibre, remote - first team Tremendous growth and unique learning opportunities, working within a fast paced, growing scale-up environment A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock A flexible vacation policy Stock option grants Career development opportunities Virtual and in person socials and team meetings
LOCATION
We are a remote - first company headquartered in Toronto with frequent virtual and in-person collaborative work sessions and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Manager, Technical Implementation
Full-Time / Permanent
ABOUT ODAIA
ODAIA noun o da ia 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."
You can also find more information about the company and our products at odaia.ai . ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually.
ODAIA's AI helps the world's largest pharma commercial teams grow their brands by engaging HCPs at the right time-when they need information to make treatment decisions. We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers-healthcare professionals (HCPs)-and predict prescribing behaviors.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don't have to. We live by the notion that "simplicity is the ultimate sophistication;" and making simplicity scalable is an even bigger challenge. That's why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
OUR MISSION
Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
WHAT'S ON OFFER
As Manager, Technical Implementations , you will lead a team responsible for configuring, implementing, and optimizing our AI-driven platform for customers. You will oversee technical solution delivery, drive process improvements, and ensure seamless customer onboarding and integration. Reporting to the Director, Engineering Developmen t, you will act as a key liaison between technical teams and customers, ensuring smooth deployments and high-quality data processing.
WHAT YOU WILL DO
Lead and mentor a team of Technical Implementation Specialists, providing guidance and best practices for seamless customer deployments Oversee customer onboarding and technical implementations, ensuring a smooth transition and system integration Collaborate with clients and internal teams to define technical requirements and tailor solutions to their needs Design and optimize ETL workflows, leveraging automation for repeatable, high-quality data ingestion Manage integration of customer data into ODAIA's platform, ensuring accuracy and performance Utilize modern data tools (e.g., PySpark, Snowflake) to explore, troubleshoot, and resolve issues with ETL and system configuration Ensure timely and high-quality data deliveries, maintaining data integrity and compliance with industry standards Continuously seek opportunities to improve implementation processes, increase automation, and reduce manual effort Drive cross-functional collaboration, ensuring alignment between customer success, engineering, and product teams
WHAT YOU BRING
Leadership experience in managing technical teams, particularly in software implementation, customer onboarding, or data integration. Strong technical foundation: proficiency in Python, SQL, and cloud platforms (AWS preferred) Expertise in ETL and data integration with large data technologies such as PySpark and Snowflake Experience working with APIs and integration frameworks to connect platforms and automate data flows Familiarity with industry-specific tools such as Veeva Vault, Salesforce, and other CRM or data management platforms Exceptional problem-solving skills with a customer-centric mindset, ensuring a seamless experience for clients Excellent communication and stakeholder management skills, able to bridge the gap between technical and non-technical teams
WHAT WE OFFER A strong values based culture, we Ignite Innovation , Own It and Stand Together A high calibre, remote - first team Tremendous growth and unique learning opportunities, working within a fast paced, growing scale-up environment A large amount of ownership and autonomy for managing things directly No waiting period for medical and dental benefits enrollment Flexible working hours, focusing on what we achieve and not the number of hours we clock A flexible vacation policy Stock option grants Career development opportunities Virtual and in person socials and team meetings
LOCATION
We are a remote - first company headquartered in Toronto with frequent virtual and in-person collaborative work sessions and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.
DIVERSITY, EQUITY & INCLUSION
As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
