MLOps Engineer

ConfidentialHyderabad / Secunderabad, Telangana

30+ days ago

Job description

Architect and optimize ML infrastructure with Kubeflow, MLflow, SageMaker Pipelines.

Build CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD).

Automate ML workflows including feature engineering, retraining, and deployment.

Scale ML models using Docker, Kubernetes, and Airflow.

Ensure model observability, security, and cost optimization on cloud platforms (AWS / GCP / Azure).

Must-Have Skills :

Proficiency in Python, TensorFlow, PyTorch, and CI / CD pipelines.

Hands-on experience with cloud ML platforms like AWS SageMaker, GCP Vertex AI, or Azure ML.

Expertise in monitoring tools such as MLflow, Prometheus, and Grafana.

Knowledge of distributed data processing frameworks like Spark and Kafka.

(Bonus) Experience in A / B testing, canary deployments, or serverless ML.

Skills Required

Distributed Systems

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Mlops Engineer • Hyderabad / Secunderabad, Telangana

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