AI/ML Engineer
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. This role will focus on building, integrating, and deploying AI/ML models-particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines. The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs. Experience working in Agile environments and collaborating with cross‑functional teams is essential.
Requirements
- Strong hands-on experience in Python.
- Modern AI/LLM integration.
- API development.
- Distributed data technologies.
- ML systems design.
- Inferencing pipelines.
- Microservices-based APIs.
- Experience working in Agile environments.
- Experience with Kafka Integration.
- Rest API Integration for ML Models.
- GitHub and CoPilot.
- Agentic AI Implementation.
Nice To Haves
- Java/Angular
- Spring Boot
- CI/CD
- Containerization (Docker, Kubernetes)
- Cloud ML platforms
- Finance domain Experience
Responsibilities
- Building, integrating, and deploying AI/ML models, particularly those involving Large Language Models (LLMs), agentic AI workflows, and real-time data pipelines.
- Developing and maintaining ML systems, inferencing pipelines, and microservices-based APIs.
- Collaborating with cross-functional teams in an Agile environment.
Benefits
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
