Posted:9 hours ago|
Platform:
On-site
Full Time
As per our calibration call with client, please look in to profiles who has strong coding exp in Python with Microservice architecture. Good knowledge and basic understanding in MLOPS.
• 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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