Capgemini
Capgemini looking For Mlops Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
25 August 2026
What they need
Role & responsibilities
MLOps Engineer having experience in design and implementation of scalable, secure, and production-grade ML platforms across multi-cloud environments (Azure, AWS, GCP).
The role involves architecting end-to-end ML lifecycle solutions, enabling reproducibility, governance, and operational excellence while working closely with data science, platform engineering, and cloud teams.
Preferred candidate profile
- overall experience and dedicated MLOps / AI Platform Engineering experience
- Kubernetes hands-on expertise
- Python development experience
- CI/CD implementation experience
- Monitoring and observability experience
- LLMOps implementation experience
LLMOps implementation experience
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