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AI / ML Pipeline Engineer

AI / ML Pipeline Engineer

ValueLabsHyderabad, Republic Of India, IN
2 days ago
Job description

Role Overview :

We are looking for an experienced MLOps Engineer who will bridge AI / ML model development with production deployment and monitoring , ensuring models are scalable, reliable, and performant in production environments.

Key Responsibilities :

  • Build and manage MLOps pipelines for AI / ML models (segmentation, Next Best Action, recommendations).
  • Deploy and monitor models across Dev / SIT / PROD environments .
  • Implement model versioning, drift detection, and retraining workflows .
  • Optimize model inference performance for low-latency responses.
  • Collaborate with infrastructure teams to ensure hardware and cloud readiness for GenAI .
  • Establish observability and logging for model behavior and system performance.

Required Skills :

  • 7–10 years of experience in MLOps or related roles.
  • Strong knowledge of ML lifecycle management , CI / CD for ML , and model deployment frameworks (e.G., MLflow, Kubeflow, Airflow).
  • Expertise in Python , Docker , and Kubernetes .
  • Experience with cloud platforms (AWS / Azure / GCP) and GPU-based infrastructure.
  • Familiarity with monitoring tools (Prometheus, Grafana) and logging systems .
  • Understanding of model drift detection and retraining strategies .
  • Good to Have :

  • Exposure to GenAI model deployment .
  • Experience with data pipelines and feature stores .
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