MLOps Engineer - AWS

Location : Pune / Mumbai / Hyderabad / Bangalore.

Experience : 6 to 9 :

• Build, train, and deploy ML models using AWS SageMaker.
• 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)