5+ years building ML systems; 1–3+ years managing engineers or leading a team
Hands-on experience across the full ML lifecycle — data, training, deployment, monitoring
Strong Python and ML framework skills (MLflow/PyTorch/TensorFlow); comfortable in cloud ML environments A track record of shipping ML to production, not just experimenting
Explicit communicator who can lead people and still ship code
Nice to Have
LLM/GenAI production experience
Experience scaling a team through growth
Familiarity with Azure Fabric, MLflow, Weights & Biases, or similar tools
📌 ML Engineer - Lead (India)
🏢 Elfonze Technologies
📍 India
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