MLOps Model Developer

3 days ago


Chennai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,10,00,000

About the Role:

MLOps Engineers are crucial to deploying, scaling and managing machine learning models in production environments.

They collaborate closely with data scientists and engineering teams to automate the ML lifecycle, optimize model performance and ensure seamless integration with data pipelines.

  • Necessary qualifications include a Bachelor's degree in computer science, analytics, mathematics or statistics.
  • The ideal candidate will have strong experience in Python, SQL, Pyspark and containerization technologies (Docker, Podman, Kubernetes).
  • Proficiency in CI/CD pipelines, model monitoring and MLOps platforms (AWS SageMaker, Azure ML, MLFlow) is also essential.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, Scikit-learn) is required.
  • Candidates should be able to solve complex problems and work effectively in a team-oriented environment.

Required Skills and Qualifications:

  • Model Development & Tracking: TensorFlow, PyTorch, scikit-learn, MLflow
  • Model Packaging & Serving: Docker, Kubernetes, FastAPI, Flask
  • CI/CD & Pipelines: GitHub Actions, GitLab CI, Jenkins, ZenML
  • Infrastructure & Orchestration: Terraform, Ansible, Apache Airflow
  • Cloud & Deployment: AWS, GCP, Azure, Serverless
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack
  • Testing & Validation: Pytest, unittest, Pydantic
  • Feature Store & Data Handling: Feast, Tecton, Hopsworks
  • Message Brokers & Data Streams: Kafka, Redis Streams

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