
MLOps Engineer
2 days ago
Location : Pune / Mumbai / Hyderabad / Bangalore.
Experience : 6 to 9 :
- Manage endpoints, hosting, and scalable ML solutions.
- Develop & automate ML workflows with SageMaker Pipelines.
- Use SageMaker Feature Store for feature management.
- Collaborate with Data Science & DevOps teams across ML Ops Skills :
- AWS (ML Ops at production scale).- Python (Advanced scripting & automation).
- Terraform (IaC for ML pipelines & endpoints).
- SageMaker (full lifecycle : build ? deploy ? monitor).
(ref:hirist.tech)-
Senior MLops Engineer
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