Position Details
Mlops Engineer Apply
• 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, • 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
