ML Ops Engineer

Sightspectrum

4 - 8 years

0 - 3 Lacs

Hyderabad Pune Bengaluru

Posted:1 day ago| Platform:

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Skills Required

ML ops Cloud Machine Learning

Work Mode

Hybrid

Job Type

Full Time

Job Description

Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field.
3+ years of experience in MLOps, DevOps, or ML Engineering roles.
Strong experience with containerization (Docker) and orchestration (Kubernetes).
Proficiency in Python and experience working with ML libraries like TensorFlow, PyTorch, or scikit-learn.
Familiarity with ML pipeline tools such as MLflow, Kubeflow, TFX, Airflow, or SageMaker Pipelines.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
Solid understanding of CI/CD principles, especially as applied to machine learning workflows.

Nice-to-Have

Experience with feature stores, model registries, and metadata tracking.
Familiarity with data versioning tools like DVC or LakeFS.
Exposure to data observability and monitoring tools.
Knowledge of responsible AI practices including fairness, bias detection, and explainability.

divyapk@sightspectrum.com

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