Bangalore, India · Noida · full time · mid level
Compensation: INR 1800000–2800000 per year
Beebom seeks a Mid-Level MLOps Engineer to build and maintain our ML infrastructure and deployment pipelines. **Responsibilities:** - Design and implement ML deployment pipelines (CI/CD for ML) - Build model monitoring and observability systems - Manage ML model versioning and experiment tracking - Optimize model serving infrastructure for low latency - Implement automated retraining and validation workflows - Ensure model reproducibility and governance - Collaborate with data scientists to productionize models - Maintain ML infrastructure on cloud platforms **Required Skills:** - 3-5 years of experience in MLOps, DevOps, or ML Engineering - Strong Python and software engineering skills - Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) - Proficiency in Docker, Kubernetes, and containerization - Knowledge of ML serving tools (TensorFlow Serving, TorchServe, MLflow) - Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) - Understanding of CI/CD tools (Jenkins, GitLab CI, GitHub Actions) - Infrastructure as Code (Terraform, CloudFormation) **Nice to Have:** - Experience with feature stores (Feast, Tecton) - Knowledge of model monitoring tools (Evidently, Whylabs) - Expertise in distributed computing (Ray, Dask) - Experience with streaming data (Kafka, Kinesis) - Kubernetes operator development