Delivery -Data Science -AI / ML -Architect
CapgeminiSaskatoon, SK, CA6 days ago
Job type
- Full-time
Job descriptionPh.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. Collaborating with teams of creative, fun, and driven colleagues Flexible work options enabling time and location-based flexibility Company-provided home office equipment Virtual collaboration and productivity tools to enable hybrid teams Comprehensive 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 days Back-up childcare / elder care, childcare discounts, and subsidized virtual tutoring Tuition assistance and weekly hot skill development opportunities Experiential, high-impact learning series events Access to mental health resources and mindfulness programs Access to join Capgemini Employee Resource Groups around communities of interest
Delivery -Data Science -AI / ML -Architect-077748
Description
position : Delivery Data Science Architect - AI / ML
Location : Saskatoon, Canada- Hybrid
Industry : Telecommunications
Job 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 :
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 :