MLOps Engineer - AWS

<p><p><b>Location : </b> Pune / Mumbai / Hyderabad / Bangalore.<br/><br/><b>Experience : </b> 6 to 9 : </b></p><p><br/></p>- Build, train, and deploy ML models using AWS SageMaker.<br/><br/></p><p>- Manage endpoints, hosting, and scalable ML solutions.<br/><br/></p><p>- Develop & automate ML workflows with SageMaker Pipelines.<br/><br/></p><p>- Use SageMaker Feature Store for feature management.<br/><br/></p><p>- Collaborate with Data Science & DevOps teams across ML Ops Skills : </b></p><p><br/></p>- AWS (ML Ops at production scale).<br/><br/></p><p>- Python (Advanced scripting & automation).<br/><br/></p><p>- Terraform (IaC for ML pipelines & endpoints).<br/><br/></p><p>- SageMaker (full lifecycle : build ?

deploy ?

monitor).</p><br/></p> (ref:hirist.tech)