MLOps Engineer
capgemini
Job Description
Your Role
Design and build robust ML pipelines and services for training; validation; and model deployment
Collaborate with data scientists to transition models from experimentation to production.
Build reusable infrastructure components using best practices in DevOps and MLOps.
Implement model serving infrastructure with high availability and low latency (REST/gRPC).
Automate testing; versioning; and monitoring of ML models using CI/CD workflows.
Your Profile
Design and build robust ML pipelines and services for training; validation; and model deployment
Collaborate with data scientists to transition models from experimentation to production.
Build reusable infrastructure components using best practices in DevOps and MLOps.