MLOps Data 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. We are seeking an experienced MLOps Data Engineer to join our team supporting FDA related projects. The role is primarily aligned with our MLOps ModelOps platform which integrates Python, Java, Camunda or similar workflow engines, and Kubernetes (EKS). The ideal candidate will have strong hands-on experience in building, deploying, and maintaining machine learning pipelines and production workflows.
Requirements
- Strong proficiency in Python
- Experience with Java in production environments
- Hands-on experience with Kubernetes, preferably AWS EKS
- Familiarity with workflow engines such as Camunda, Activiti, or similar
- Understanding of MLOps practices including CI/CD for ML, model versioning, monitoring, and governance.
Nice To Haves
- Experience with MLOps tools (e.g., MLflow, ModelOp, Kubeflow, SageMaker, etc.)
- Exposure to Spring Cloud or microservices architecture
- Experience with Apache NiFi is a plus but not required
Responsibilities
- Design, develop, and maintain MLOps pipelines for model deployment, monitoring, and lifecycle management
- Work with Python and Java to integrate ML models into production-grade systems
- Implement and manage workflow orchestration using Camunda or equivalent workflow tools
- Collaborate with cross-functional teams to support model governance, compliance, and operationalization
- Deploy and manage services on AWS EKS/Kubernetes
- Contribute to system architecture discussions and propose improvements for scalability and reliability
- Optional: Support or collaborate with teams using Spring Cloud, depending on project needs.
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
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- 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
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
