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Machine Learning Engineer
ValueLabssangli, maharashtra, in30+ days ago
Job description7–10 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 . Exposure to GenAI model deployment . Experience with data pipelines and feature stores .
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 :
Good to Have :
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Machine Learning Engineer • sangli, maharashtra, in