Design, develop and automate enterprise ML pipelines; deploy, monitor and manage ML models; configure cloud ML environments; implement model governance and lifecycle management; collaborate with Data Science and engineering teams.
Required Candidate profile
3–5+ years in MLOps/ML Engineering with robust Python, TensorFlow/PyTorch, ML pipeline automation, model deployment/monitoring and Azure/AWS/GCP cloud experience.
📌 MLOps Engineer (Pune)
🏢 Consult Asia
📍 Pune
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