MLOPS Engineer

AppSierra

Gurugram, India

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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

More Info

Job Type:

Permanent Job

Industry:

Other

Employment Type:

Full time

About Company

AppSierraJob Source: www.linkedin.com

Job ID: 132132045

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Last Updated: 02-06-2026 02:29:50 AM

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