ML Engineer - Lead
Elfonze Technologies Private LimitedMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular ML lead title, mid-experience (5+ years), and broad production skills increase candidate density.
Requires production ML lifecycle and framework expertise, making cross-industry fit moderately transferable.
Explicit 5+ years requirement, production ML experience, and specific frameworks raise filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end machine learning system development including data handling, model training, deployment, and monitoring.
Lead and manage a team of ML engineers with 1-3+ years of people management experience required.
Deliver production-grade ML solutions and ensure operationalization beyond experimentation.
Minimum Requirements
5+ years of experience building ML systems.
1–3+ years of experience managing engineers or leading a team.
Strong Python programming skills and proficiency with ML frameworks such as MLflow, PyTorch, or TensorFlow.
Comfortable working in cloud ML environments.
Ideal Candidate Profile
Experienced in shipping ML models to production at scale, not limited to research or experimentation.
Ability to communicate effectively with both technical teams and leadership while coding hands-on.
Familiarity with LLM/GenAI production and ML lifecycle tools (e.g., Azure Fabric, MLflow, Weights & Biases) is advantageous.