MLOPS Engineer

0 years

0 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

  • Strong proficiency in Python and FastAPI.
  • Experience with MLOps tools and ML experimentation platforms such as MLflow (Runs & Experiments)
  • Expertise in model versioning and lifecycle management (model training)
  • Knowledge of ML frameworks/libraries (e.g., TensorFlow, PyTorch) and orchestration tools such as MLflow, Ray.io , Kubeflow, and Airflow
  • Familiarity with Docker, Kubernetes, and microservice-based architectures
  • Experience with tools such as MLflow, LakeFS, MinIO, and NATS for asynchronous communication
  • Knowledge of database design and best practices
  • Understanding of RBAC and authentication mechanisms

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