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ML Engineer - Lead

Job Description - ML Engineer - Lead

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

Clear 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

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