We are looking for an Experienced Plastic Designer to join our team and contribute to the development of plastic components in the automotive sector. Main Responsibilities:Manage and follow up on various design projects related to plastic part development;Create CAD models for body and interior plastic components;Design, create, and modify 2D and 3D drawings of plastic part surfaces, using Catia V5/V6;Develop assembly strategies and design mounting points;Work closely with engineering and manufacturing teams to ensure manufacturability. Candidate Profile:Minimum 5 years of experience in plastic part design, preferably in the automotive industry;Strong proficiency in Catia V5/V6 for 2D and 3D design;Strong organizational skills, autonomy, and ability to manage multiple projects simultaneously;Team player with experience in collaborative work environments;Flexible on-site presence (1 day on site acceptable), Valcourt.Excellent command of English, spoken and written, with active participation in meetings, conferences, training sessions, and projects conducted in English. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.---------------Nous recherchons un(e) Designer Plastique expérimenté(e) pour rejoindre notre équipe et contribuer au développement de pièces plastiques pour le secteur automobile. Responsabilités principales :Gérer et suivre différents projets de conception liés au développement de pièces plastiques ;Créer des modèles CAD pour le développement de composants plastiques intérieurs et de carrosserie ;Concevoir, créer et modifier les dessins 2D et 3D des surfaces de pièces plastiques, en utilisant Catia V5/V6 ;Développer des stratégies d’assemblage et concevoir les points de fixation ;Collaborer étroitement avec les équipes d’ingénierie et de fabrication pour garantir la faisabilité des pièces. Profil recherché :Minimum 5 ans d’expérience dans la conception de pièces plastiques, idéalement dans l’automobile ;Maîtrise de Catia V5/V6 pour la conception 2D et 3D ;Solides compétences organisationnelles, autonomie et capacité à gérer plusieurs projets simultanément ;Bon esprit d’équipe et expérience de travail dans un environnement collaboratif ;Présence sur site flexible (1 jour sur site possible), Valcourt.Excellente maîtrise de l’anglais, à l’oral comme à l’écrit, avec une participation active à des réunions, conférences, formations et projets menés en anglais. Pourquoi nous choisirUne communauté internationale réunissant plus de 110 nationalités différentesUn environnement où la confiance est primordiale : 70 % de nos leaders ont commencé leur carrière au premier niveau de responsabilitéUn système de formation solide avec notre Académie interne et plus de 250 modules disponiblesUn environnement de travail dynamique qui se retrouve fréquemment lors d'événements internes (afterworks, team buildings, etc.)Amaris Consulting promeut l’égalité des chances. Nous nous engageons à rassembler des personnes d’horizons divers et à créer un environnement de travail inclusif. À ce titre, nous accueillons les candidatures de toutes les personnes qualifiées, quels que soient leur sexe, orientation sexuelle, origine ethnique, croyances, âge, état civil, handicap ou autres caractéristiques.
Localisation : Shawinigan, Québec (Présence sur site 3 jours par semaine)Description de la missionNous recherchons un(e) Ingénieur(e) en conception plastique afin de soutenir le développement et la conception de composants plastiques au sein d’un environnement industriel.Le/la consultant(e) jouera un rôle clé dans le cycle de développement produit, en collaboration avec des équipes multidisciplinaires, afin de garantir des conceptions robustes, optimisées et industrialisables.Responsabilités principalesConception et développement de petites pièces plastiques (modélisation 2D & 3D)Développement et optimisation de composants injectésCollaboration avec les équipes de fabrication afin d’assurer la conformité Design for Manufacturing (DFM)Optimisation des pièces en termes de coûts et de performance industrielleParticipation active aux cycles complets de développement produit (de la conception à l’industrialisation)Présence requise sur site à Shawinigan 3 jours par semaineProfil recherchéForte autonomie en conception de pièces plastiquesExpérience pratique des contraintes liées à l’injection plastique et à l’outillageExcellente maîtrise de SolidWorksRigueur, sens du détail et fortes capacités d’analyse et de résolution de problèmesCapacité à travailler efficacement au sein d’équipes multidisciplinairesAtouts supplémentairesExpérience en conception de claviers en silicone (atout majeur)Expérience avec des composants de petite précision appréciéeÀ l’aise avec un mode de travail hybride incluant une présence partielle à ShawiniganEnvironnement du projetEnvironnement industriel orienté moulage plastiqueInteraction possible avec des composants à dimension électronique (ex. : applications de claviers en silicone)Opportunité long terme selon l’évolution du projetPourquoi nous choisirUne communauté internationale réunissant plus de 110 nationalités différentesUn environnement où la confiance est primordiale : 70 % de nos leaders ont commencé leur carrière au premier niveau de responsabilitéUn système de formation solide avec notre Académie interne et plus de 250 modules disponiblesUn environnement de travail dynamique qui se retrouve fréquemment lors d'événements internes (afterworks, team buildings, etc.)Amaris Consulting promeut l’égalité des chances. Nous nous engageons à rassembler des personnes d’horizons divers et à créer un environnement de travail inclusif. À ce titre, nous accueillons les candidatures de toutes les personnes qualifiées, quels que soient leur sexe, orientation sexuelle, origine ethnique, croyances, âge, état civil, handicap ou autres caractéristiques.
Ingénieur(e) mécanique – Analyste CFD – Automobile
Nous recherchons un(e) ingénieur(e) mécanique – analyste CFD senior pour contribuer au développement de systèmes de véhicules avancés à l’aide de simulations numériques en dynamique des fluides (CFD). Le rôle consiste à modéliser avec précision le comportement physique de systèmes mécaniques, thermiques et fluidiques afin de soutenir les décisions de conception tout au long du cycle de développement produit.Vous travaillerez en étroite collaboration avec les équipes d’ingénierie, de conception, de laboratoire et d’atelier mécanique.
Responsabilités principalesPréparer et exécuter des simulations CFD (1D et/ou 3D) afin de représenter fidèlement le comportement physique des systèmes de véhiculesCollaborer étroitement avec les équipes d’ingénierie, de conception, de laboratoire et d’atelier mécaniqueIdentifier les exigences techniques et détecter les données manquantes ou incomplètes pour la modélisationAnalyser les résultats de simulation et formuler des recommandations techniques claires et exploitablesParticiper à ou coordonner des activités de validation expérimentaleAméliorer en continu les méthodologies, outils et bonnes pratiques CFD pour les projets futurs
Profil recherchéMaîtrise ou doctorat en génie mécanique, avec une spécialisation en CFD, mécanique des fluides ou thermiqueMinimum de 5 ans et plus d’expérience en analyse CFDSolide expertise en mécanique numérique des fluidesMaîtrise d’outils CFD commerciaux tels que Star-CCM+, PowerFLOW, ANSYS Fluent, ou équivalentConnaissances en programmation (Python, MATLAB, Java, VBA, ou similaire)Expérience dans le domaine du transport ou des systèmes de véhiculesExcellentes capacités d’analyse et de communicationAutonomie, rigueur et proactivité dans un environnement multidisciplinaire
Informations complémentairesCapacité à travailler en mode hybride, avec une présence sur site à Valcourt (3 jours par semaine)
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We are seeking a senior Mechanical Engineer – CFD Analyst to support the development of advanced vehicle systems through high-fidelity computational fluid dynamics (CFD) simulations. This role focuses on accurately modeling the physical behavior of mechanical, thermal, and fluid systems to support design decisions throughout the product development lifecycle.You will work closely with engineering, design, laboratory, and mechanical workshop teams, contributing both simulation expertise and hands-on technical insight.
Key ResponsibilitiesPrepare and execute CFD simulations (1D and/or 3D) to accurately represent the physical behavior of vehicle systemsCollaborate closely with engineering, design, laboratory, and mechanical workshop teams throughout the development cycleIdentify technical requirements and detect missing or incomplete modeling inputsAnalyze simulation results and formulate clear, actionable technical recommendationsParticipate in or coordinate experimental validation activitiesContinuously improve CFD methodologies, tools, and best practices for future projects
Profile RequirementsMaster’s degree or PhD in Mechanical Engineering, with a focus on CFD, fluid mechanics, or thermal systemsMinimum 5+ years of experience in CFD analysisStrong expertise in numerical fluid mechanicsProficiency with commercial CFD tools such as Star-CCM+, PowerFLOW, ANSYS Fluent, or equivalentProgramming experience in Python, MATLAB, Java, VBA, or similar languagesExperience with transportation or vehicle systemsExcellent analytical mindset and strong communication skillsAutonomous, structured, and proactive in a multidisciplinary environment
Additional InformationAbility to work in a hybrid model, with on-site presence in Valcourt (3 days per week)
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
We are looking for a Snowflake Cortex & Snowpark Specialist to design, implement, and optimize advanced data and AI-driven solutions within the Snowflake Data Cloud. You will work closely with Data Engineering, Architecture, and Business teams to build scalable pipelines, deploy GenAI capabilities, and integrate internal/external models using Snowflake’s latest technologies.Key ResponsibilitiesImplement and operationalize Snowflake Cortex Functions (LLM, embeddings, classification, summarization, translation, etc.).Build RAG pipelines using Snowflake Vector Search and Cortex Search.Integrate external AI models (OpenAI, Anthropic, etc.) with Snowflake.Develop Snowpark applications, UDFs, and transformations using Snowpark Python/Java.Optimize Snowflake performance, compute, and storage within data pipelines.Collaborate with architecture and governance teams to ensure secure and scalable AI-ready data environments.Work with stakeholders to translate analytics and AI needs into technical solutions.RequirementsHands-on experience with Snowflake, including warehouses, performance optimization, streams, tasks, and ELT/ETL pipelines.Experience using Snowpark (Python and/or Java) to build data transformations, UDFs, and scalable compute workflows.Knowledge or practical experience with Snowflake Cortex, including LLM functions, embeddings, vector search, and semantic/RAG architectures.Understanding of vector embeddings, semantic search, and integration of external models like OpenAI or Anthropic.Ability to design secure, scalable, and high-performance data solutions within the Snowflake environment.Strong communication skills and ability to work with cross-functional technical and business teams. Expected Compensation Range:60Hr CAD. (negotiable) The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements. Canadian Experience Requirement:No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.Artificial Intelligence (AI) Disclosure:No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.Statement Regarding Job Vacancy:This position is a Job creation, created to support ongoing project needs. Recruitment Process & Feedback Timeline:Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. Why choose usAn international community bringing together more than 110 different nationalitiesAn environment where trust is central: 70% of our leaders started their careers at the entry levelA strong training system with our internal Academy and more than 250 modules availableA dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
