position:Delivery Data Science Architect - AI/ML
Location: Saskatoon, Canada- Hybrid
Industry:TelecommunicationsJob Description:

We seek an experienced Data Science Architect to lead the design and deployment of scalable, high-performance machine learning solutions. This role focuses on automation, reproducibility, and reliability, collaborating closely with engineering and DevOps teams to implement CI/CD practices for seamless model deployment.

Key Responsibilities:Architect and design scalable machine learning solutions to address complex business challenges, ensuring alignment with organizational goals.Develop and oversee end-to-end model workflows, from data ingestion and preprocessing to training, validation, and production deployment.Implement CI/CD pipelines to automate model deployment, retraining, and versioning, using tools like Jenkins, Git, and Docker to ensure streamlined and reproducible workflows.Collaborate with DevOps teams to maintain a robust infrastructure for model deployment, monitoring, and continuous integration, ensuring models are resilient, scalable, and optimized for performance.Troubleshoot and resolve issues related to model performance, data integrity, and system integration, continuously improving processes and infrastructure.Define and establish best machine learning lifecycle management practices, including versioning, monitoring, and updating models in production environments.Stay informed of advancements in AI, machine learning, and DevOps practices, incorporating new tools and methodologies to enhance the efficiency and impact of ML solutions.Act as a bridge between data science, engineering, and business teams, translating business requirements into technical specifications and ensuring successful project outcomes.

Qualifications and Skills:Ph.D. or Master’s in Data Science, Computer Science, or related field with significant experience in data science architecture.Proven experience in designing and deploying large-scale machine learning solutions in cloud environments, particularly with Azure ML and Azure Data Factory (ADF).Strong knowledge of DevOps principles and hands-on experience with CI/CD tools (e.g., Jenkins, Git, Docker, Kubernetes) for model deployment and management.Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with data pipeline tools and orchestration.Deep understanding of data engineering, pipeline architecture, and model lifecycle management.Excellent leadership and collaboration skills, with the ability to translate complex technical concepts for cross-functional teams.Strong analytical and problem-solving skills, with the ability to anticipate and address challenges in model deployment and infrastructure.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Collaborating with teams of creative, fun, and driven colleaguesFlexible work options enabling time and location-based flexibilityCompany-provided home office equipmentVirtual collaboration and productivity tools to enable hybrid teamsComprehensive benefits program (Health, Welfare, Retirement and Paid time off)Other perks and wellness benefits like discount programs, and gym/studio access.Paid Parental Leave and coaching, baby welcome gift, and family care/illness daysBack-up childcare/elder care, childcare discounts, and subsidized virtual tutoringTuition assistance and weekly hot skill development opportunitiesExperiential, high-impact learning series eventsAccess to mental health resources and mindfulness programsAccess to join Capgemini Employee Resource Groups around communities of interest

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want |www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

position:Delivery Data Science Architect - AI/ML
Location: Saskatoon, Canada- Hybrid
Industry:TelecommunicationsJob Description:

We seek an experienced Data Science Architect to lead the design and deployment of scalable, high-performance machine learning solutions. This role focuses on automation, reproducibility, and reliability, collaborating closely with engineering and DevOps teams to implement CI/CD practices for seamless model deployment.

Key Responsibilities:Architect and design scalable machine learning solutions to address complex business challenges, ensuring alignment with organizational goals.Develop and oversee end-to-end model workflows, from data ingestion and preprocessing to training, validation, and production deployment.Implement CI/CD pipelines to automate model deployment, retraining, and versioning, using tools like Jenkins, Git, and Docker to ensure streamlined and reproducible workflows.Collaborate with DevOps teams to maintain a robust infrastructure for model deployment, monitoring, and continuous integration, ensuring models are resilient, scalable, and optimized for performance.Troubleshoot and resolve issues related to model performance, data integrity, and system integration, continuously improving processes and infrastructure.Define and establish best machine learning lifecycle management practices, including versioning, monitoring, and updating models in production environments.Stay informed of advancements in AI, machine learning, and DevOps practices, incorporating new tools and methodologies to enhance the efficiency and impact of ML solutions.Act as a bridge between data science, engineering, and business teams, translating business requirements into technical specifications and ensuring successful project outcomes.

Qualifications and Skills:Ph.D. or Master’s in Data Science, Computer Science, or related field with significant experience in data science architecture.Proven experience in designing and deploying large-scale machine learning solutions in cloud environments, particularly with Azure ML and Azure Data Factory (ADF).Strong knowledge of DevOps principles and hands-on experience with CI/CD tools (e.g., Jenkins, Git, Docker, Kubernetes) for model deployment and management.Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with data pipeline tools and orchestration.Deep understanding of data engineering, pipeline architecture, and model lifecycle management.Excellent leadership and collaboration skills, with the ability to translate complex technical concepts for cross-functional teams.Strong analytical and problem-solving skills, with the ability to anticipate and address challenges in model deployment and infrastructure.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Collaborating with teams of creative, fun, and driven colleaguesFlexible work options enabling time and location-based flexibilityCompany-provided home office equipmentVirtual collaboration and productivity tools to enable hybrid teamsComprehensive benefits program (Health, Welfare, Retirement and Paid time off)Other perks and wellness benefits like discount programs, and gym/studio access.Paid Parental Leave and coaching, baby welcome gift, and family care/illness daysBack-up childcare/elder care, childcare discounts, and subsidized virtual tutoringTuition assistance and weekly hot skill development opportunitiesExperiential, high-impact learning series eventsAccess to mental health resources and mindfulness programsAccess to join Capgemini Employee Resource Groups around communities of interest

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want |www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.