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Posted:2 months ago| Platform: 
Work from Office
Full Time
Key Responsibilities: Develop and manage deployment processes for ML models in production. Implement CI/CD pipelines for ML workflows. Monitor model performance, reliability, and accuracy. Optimize infrastructure for ML model training and deployment. Ensure security and compliance of ML workflows. Required Experience & Skills: 5+ years in software engineering/DevOps, with 2-3 years in MLOps. Proficiency in Python, CI/CD tools, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). Hands-on experience with TensorFlow, PyTorch, or scikit-learn. Strong knowledge of monitoring tools (Prometheus, Grafana, ELK stack).
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