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Machine Learning Engineer

Wadhwani AI|Mumbai, IndiaOnsite

Quick Insights

Level

Mid

Pace

Mixed: bursts around grants and pilots; long slow stretches due to government timelines

Job Description

Build and ship ML systems for social-impact projects in health and agriculture. Work with scientists and engineers to turn research into tools used by governments and NGOs.

Responsibilities

  • Design and implement ML pipelines for vision, text, sound, or tabular data
  • Build, test, and monitor models that can run in clinics, fields, or low-resource settings
  • Work with ML scientists, product, and domain experts to translate field needs into ML problems
  • Help define evaluation metrics that reflect on-the-ground impact, not just offline accuracy
  • Contribute to reproducible codebases, reviews, and tooling for experimentation
  • Support deployments with engineering teams and external partners

Benefits

Mission-driven work with direct impact on public health and agricultureGenerally strong work-life balance compared to big techExposure to end users via field visits and government partnersLearning budget and collaboration with global research partners (varies by team)

Category

Machine Learning Engineer

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