Senior MLOps Engineer (AWS SageMaker & Airflow)

  Job Title: Senior MLOps Engineer (AWS SageMaker & Airflow)  Experience: 6–8 Years Location: Remote (India) Employment Type: Full-time  About the Role  We are looking for an experienced MLOps Engineer to join our cloud and AI engineering team.

This role is ideal for professionals with strong hands-on experience in AWS SageMaker–centric ML workflows and Apache Airflow–based orchestration , who can operationalize machine learning models at scale and ensure reliable, automated ML pipelines.  Key Responsibilities  ● Design, build, and maintain end-to-end MLOps pipelines using AWS SageMaker  ● Develop and manage Airflow DAGs for ML workflow orchestration (training, validation, deployment, retraining)  ● Automate model training, evaluation, versioning, and deployment  ● Implement CI/CD pipelines for ML workflows and model releases  ● Manage model lifecycle, including experiment...