Full Stack Engineer (AI/ML)

Capgemini • New York, NY

3d • $75,000 - $96,900

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• Bachelors Degree or equivalent in a technology related field (e.g., Computer Science, Engineering).
• 5 to 9 years of demonstrable experience in full stack engineering.
• Proven experience designing, building, and deploying data pipelines, ETL/ELT workflows, and AI/ML data solutions, including experience supporting model development and productionization.
• Experience designing and consuming data-centric APIs and microservices to support AI/ML model integration and downstream analytics use cases.
• Experience designing and implementing data architectures supporting AI/ML workloads and model data pipelines.
• Outstanding Python and SQL skills with deep experience in data engineering.
• Extensive experience working with cloud-based data platforms (AWS, Microsoft Azure) with exposure to Snowflake-based data warehousing.
• Consistent record of accomplishment of working in collaborative teams to deliver high-quality data engineering and analytics solutions in a multi-developer agile environment following coding standard methodologies and DevOps practices.
• Strong analytical, technical, and problem-solving skills to understand complex customer needs and transactions.
• Ability to learn and experiment with new technologies and patterns.

Responsibilities

• Designing, building, and deploying data pipelines, ETL/ELT workflows, and AI/ML data solutions.
• Supporting model development and productionization.
• Designing and consuming data-centric APIs and microservices to support AI/ML model integration and downstream analytics use cases.
• Designing and implementing data architectures supporting AI/ML workloads and model data pipelines.
• Working in collaborative teams to deliver high-quality data engineering and analytics solutions in a multi-developer agile environment following coding standard methodologies and DevOps practices.
• Understanding complex customer needs and transactions through strong analytical, technical, and problem-solving skills.
• Learning and experimenting with new technologies and patterns.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level