Machine Learning Engineer, GenAI
This position requires candidates to work in-office at our Burnaby, BC location.
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable GenAI models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.
Responsibilities: Develop and deploy production-ready AI/ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare Write efficient, maintainable, and scalable Python code Collaborate with machine learning scientists, data engineers, front end, back end developers to write production-ready code Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles Maintain best software engineering and MLOps practices within the healthcare industry Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements
Key Responsibilities and Qualifications: Proven experience in deploying, scaling, integrating, and maintaining generative AI applications. Strong understanding and experience in software engineering and MLOps best practices Experience with unit testing and regression testing to ensure quality and stability. Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions. Preferred: Experience with fine-tuning and pre-training language models and embedding models. Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.
Other Requirements: Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience At least 1-2 years of relevant experience as an ML Engineer or software engineer Experience writing production-ready code, troubleshooting and bug fixing Strong proficiency in LangChain, vectorDB and cloud platforms (Azure) Experience with MLOps, monitoring, and CI/CD Experience with transformer-based models,NLP, LLM models, preferably for biomedical/healthcare applications Strong interest in healthcare, with preferred experience working with healthcare data Bonus: experience with RAG and Agents Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines Candidates should be able to articulate why they are looking to leave their current role and what they are seeking in a new opportunity.
Job Type: Full-time Pay: Competitive pay, benefits, and extremely valuable startup stock options Schedule: Full Time Benefits: Dental insurance Health insurance Vision insurance
Senior Machine Learning Engineer, GenAI
This position requires candidates to work in-office at our Burnaby, BC location.
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable ML models, including predictive/classification and NLP/NLU models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.
Responsibilities: Develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare Write efficient, maintainable, and scalable Python code Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining Build high-performance deployment architectures and model monitoring systems Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles Maintain best practices of MLOps practices within the healthcare industry Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.
Key Responsibilities and Qualifications: Proven experience in deploying, scaling, integrating, and maintaining generative AI applications. Strong expertise in unit testing and regression testing to ensure quality and stability. Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions. Preferred: Experience with fine-tuning and pre-training language models and embedding models. Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.
Other Requirements: Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience At least 4-5 years of relevant experience as an MLOps Engineer 4-5+ years of experience doing MLOps, model monitoring, drift detection, and model retraining Azure Machine Learning Studio Experience with transformer-based models and NLP, preferably in a healthcare context Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace Track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe Strong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines
Job Type: Full-time Pay: Competitive pay, benefits, and extremely valuable startup stock options Schedule: Full Time Work Location: Onsite in Burnaby Benefits:
401(k) Dental insurance Health insurance Vision insurance
Senior Machine Learning Engineer, GenAI
This position requires candidates to work in-office at our Burnaby, BC location.
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable ML models, including predictive/classification and NLP/NLU models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.
Responsibilities: Develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare Write efficient, maintainable, and scalable Python code Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining Build high-performance deployment architectures and model monitoring systems Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles Maintain best practices of MLOps practices within the healthcare industry Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.
Key Responsibilities and Qualifications: Proven experience in deploying, scaling, integrating, and maintaining generative AI applications. Strong expertise in unit testing and regression testing to ensure quality and stability. Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions. Preferred: Experience with fine-tuning and pre-training language models and embedding models. Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.
Other Requirements: Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience At least 4-5 years of relevant experience as an MLOps Engineer 4-5+ years of experience doing MLOps, model monitoring, drift detection, and model retraining Azure Machine Learning Studio Experience with transformer-based models and NLP, preferably in a healthcare context Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace Track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe Strong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines
Job Type: Full-time Pay: Competitive pay, benefits, and extremely valuable startup stock options Schedule: Full Time Work Location: Onsite in Burnaby Benefits:
401(k) Dental insurance Health insurance Vision insurance
Machine Learning Engineer, GenAI
This position requires candidates to work in-office at our Burnaby, BC location.
ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable GenAI models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.
Responsibilities: Develop and deploy production-ready AI/ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare Write efficient, maintainable, and scalable Python code Collaborate with machine learning scientists, data engineers, front end, back end developers to write production-ready code Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles Maintain best software engineering and MLOps practices within the healthcare industry Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements
Key Responsibilities and Qualifications: Proven experience in deploying, scaling, integrating, and maintaining generative AI applications. Strong understanding and experience in software engineering and MLOps best practices Experience with unit testing and regression testing to ensure quality and stability. Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions. Preferred: Experience with fine-tuning and pre-training language models and embedding models. Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.
Other Requirements: Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience At least 1-2 years of relevant experience as an ML Engineer or software engineer Experience writing production-ready code, troubleshooting and bug fixing Strong proficiency in LangChain, vectorDB and cloud platforms (Azure) Experience with MLOps, monitoring, and CI/CD Experience with transformer-based models,NLP, LLM models, preferably for biomedical/healthcare applications Strong interest in healthcare, with preferred experience working with healthcare data Bonus: experience with RAG and Agents Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines Candidates should be able to articulate why they are looking to leave their current role and what they are seeking in a new opportunity.
Job Type: Full-time Pay: Competitive pay, benefits, and extremely valuable startup stock options Schedule: Full Time Benefits: Dental insurance Health insurance Vision insurance
The Senior Full Stack .NET Developer will play a key role on the core development team that is working on building our next generation suite of products. As a member of our core development team, this person will contribute significantly to designing and implementing various product features. In addition to bringing their experience building using the Microsoft stack, this role will also require learning and implementing solutions using other technologies on an as needed basis. We are an exciting healthcare startup company, so we need someone that is agile since changes are expected.
We are seeking candidates with extensive experience in end-to-end application development, along with expert proficiency in .NET Core, React, SQL, and architectural design.
We are seeking top-tier candidates for our growing development team. This position will include technical interviews, please do not apply if you are not comfortable with live coding, technical interviews.
Your Role Design and develop software covering the full stack .Net6/Core, React (TypeScript), Sql Server. Brainstorm with your team to conceptualize and build new features. Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption. Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements. Provide technical leadership including architecture design, coding, code review, practices and skills development. You You thrive in a team environment but can also work independently. You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds. A self-starter that can manage their own workload and an ever-growing task list. A team player and leader. Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business. Proficiency with server-side languages .Net Core, .Net6 Proficiency with front-end React, Typescript, Javascript Proficiency with relational databases such as SQL Server, Azure SQL both design, T-Sql, SQL You are passionate about creating innovating and exciting new technology and want to provide end users with the best possible experience. Have experience with Software development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies. Skills Required Experience: 7-12 years of experience REQUIRED. 2+ years of leading a team of developers and projects .NET Core, .NET6 Azure SQL Data modeling, UML and Design Patterns Azure DevOps, Pipeline and Configuration React Front End Typescript and JavaScript Solid web service: RESTful and SOAP Azure experience Azure App Service Nice to have: Bootstrap such as CoreUI
Onsite in Burnaby, BC (Remote is NOT an option for this position)
Job Types: Full-time Pay: Competitive pay and benefits and extremely valuable startup stock options Schedule: Full Time Benefits:
401(k) Dental insurance Health insurance Vision insurance
UI/UX Designer Location: Burnaby, Canada Type: Full-Time About Aarista Technologies At Aarista, we are dedicated to disrupting the healthcare industry by creating cutting-edge products and technology to revolutionize outpatient medicine. Our mission is to create solutions that enhance patient care, streamline workflows, and empower healthcare professionals to deliver the highest quality of care. About the Role As a UI/UX Designer , you will craft intuitive, engaging, and efficient user interfaces across multiple platforms. Collaborating closely with product managers and engineers, you’ll ensure our solutions are visually compelling and user-friendly. Key Responsibilities Design and deliver wireframes, prototypes, user journeys, and high-fidelity mockups for various devices and interfaces. Identify and solve design challenges with elegant, user-centered solutions. Make strategic UX/UI decisions for both core functionalities and new features. Rapidly iterate and test designs based on user feedback and data-driven insights. Work cross-functionally with product managers, developers, and stakeholders to align design with business goals. Advocate for design best practices, accessibility, and seamless user experience. What We’re Looking For Experience: 3+ years in UI/UX design (healthcare technology experience is a plus). Tools: Proficiency in Figma, Sketch, Adobe XD, InVision, and UXPin. Basic HTML5, CSS3, and JavaScript skills are a bonus. Expertise: Strong grasp of user-centered design (UCD), responsive/mobile-first design, usability testing, A/B testing, and accessibility principles. Problem-Solving: Ability to translate complex requirements into intuitive, elegant design solutions. Communication: Strong ability to present and justify design decisions to stakeholders. Collaboration: Team player who can work across departments and bring ideas to life. Why Join Us? Competitive salary and benefits Work in a dynamic, innovative, and inclusive environment Access to cutting-edge technology Health and wellness programs Professional development opportunities
Job Title: Technical Writer Location: Burnaby, BC Job Type: Full-Time
About Us We’re a fast-growing healthcare technology company focused on building modern, user-friendly solutions for clinicians and healthcare organizations. Our flagship product is Aarista, an Electronic Medical Record (EMR) platform designed to streamline clinical workflows, improve patient care, and enhance compliance.
We’re looking for a Technical Writer to join our team and help create clear, engaging, and accurate documentation that empowers our users. If you have a knack for turning complex concepts into user-friendly content and experience writing for technical products—especially in healthcare—this role is for you.
Responsibilities Write and maintain high-quality knowledge base articles, user guides, FAQs, and system documentation for our EMR platform. Develop onboarding materials and step-by-step training content for clinicians, support staff, and administrators. Collaborate with product managers, developers, designers, and customer support to gather information and ensure documentation accuracy. Create visuals such as diagrams, screenshots, and walkthroughs to enhance understanding. Continuously audit and improve existing documentation based on product updates and user feedback. Help shape and maintain documentation style guides and best practices. Assist in preparing materials for internal training sessions or customer webinars when needed.
Qualifications 2-5 years of experience as a technical writer, preferably in healthcare, health IT, or SaaS. An understanding of Electronic Medical Record (EMR) systems, healthcare workflows, or clinical environments is highly desirable. Exceptional written and verbal communication skills. Ability to work independently and cross-functionally in a fast-paced environment. Experience with content management systems (CMS), knowledge base platforms (e.g., Zendesk, HelpScout, Confluence), and documentation tools (e.g., Markdown, Google Docs, Notion). Experience with Figma or other design tools is an asset. Bonus: Experience creating video tutorials or interactive training modules.
Why Join Us Work on a meaningful product that supports healthcare professionals. Collaborate with a passionate and mission-driven team. Flexible work environment and opportunities for growth.
Azure Databricks Engineer – RCM Location: Onsite in Burnaby, BC
About Us: Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information
Position Overview: We are looking for a Senior Databrick engineer and lead. This person will play a key role on the core development team that is working on supporting and building our next generation suite of products, Revenue Cycle Management system. As a member of our core development team, this person will contribute significantly to designing and implementing various product features. In addition to bringing their experience building using the Microsoft stack, this role will also require learning and implementing solutions using other technologies on an as needed basis. We are an exciting healthcare startup company, so we need someone that is agile since changes are expected.
Visa and Sponsorship Information: Please note that Altea Healthcare is unable to provide sponsorship for visas or work permits.
Your Role: Support, design and develop RCM software covering Databrick/DataFactory with main technology stack GoLang and MongoDB Brainstorm with your team to conceptualize and build new features. Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption. Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements. Provide technical leadership including architecture design, coding, code review, practices and skills development. Provide development and operational support of Aarista RCM platform.
You: You thrive in a team environment but can also work independently. You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds. A self-starter that can manage their own workload and an ever-growing task list. A team player and leader. Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business. Expert in Azure Databrick/DataFactory Working knowledge with MongoDB Working knowledge of relational databases such as SQL Server, Azure SQL Has healthcare EDI 835/837 and clearing house experience You are passionate about creating innovating and exciting new technology and want to provide end users with the best possible experience. Have experience with Software development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies.
Required Experience: Azure Databrick, Notebook Azure Data Factory
Nice to have: MongoDB MS SQL, Azure SQL (SQL Server) Azure Data lake store Data modeling, UML and Design Patterns Azure experience
UI/UX Designer Location: Burnaby, Canada Type: Full-Time About Aarista Technologies At Aarista, we are dedicated to disrupting the healthcare industry by creating cutting-edge products and technology to revolutionize outpatient medicine. Our mission is to create solutions that enhance patient care, streamline workflows, and empower healthcare professionals to deliver the highest quality of care. About the Role As a UI/UX Designer , you will craft intuitive, engaging, and efficient user interfaces across multiple platforms. Collaborating closely with product managers and engineers, you'll ensure our solutions are visually compelling and user-friendly. Key Responsibilities Design and deliver wireframes, prototypes, user journeys, and high-fidelity mockups for various devices and interfaces. Identify and solve design challenges with elegant, user-centered solutions. Make strategic UX/UI decisions for both core functionalities and new features. Rapidly iterate and test designs based on user feedback and data-driven insights. Work cross-functionally with product managers, developers, and stakeholders to align design with business goals. Advocate for design best practices, accessibility, and seamless user experience. What We're Looking For Experience: 3+ years in UI/UX design (healthcare technology experience is a plus). Tools: Proficiency in Figma, Sketch, Adobe XD, InVision, and UXPin. Basic HTML5, CSS3, and JavaScript skills are a bonus. Expertise: Strong grasp of user-centered design (UCD), responsive/mobile-first design, usability testing, A/B testing, and accessibility principles. Problem-Solving: Ability to translate complex requirements into intuitive, elegant design solutions. Communication: Strong ability to present and justify design decisions to stakeholders. Collaboration: Team player who can work across departments and bring ideas to life. Why Join Us? Competitive salary and benefits Work in a dynamic, innovative, and inclusive environment Access to cutting-edge technology Health and wellness programs Professional development opportunities
