Associate Machine Learning Scientist

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July 19

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Wadhwani AI

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Artificial Intelligence • Education • Social Impact

Wadhwani AI is a non-profit technology organization that develops and deploys artificial intelligence solutions for social impact across India. It builds AI tools focused on improving education (reading fluency and teacher support), healthcare (early disease detection, maternal and newborn health, TB screening), and agriculture (yield improvement and pest management) to reach underserved populations at scale. Wadhwani AI partners with governments, frontline workers, and communities to create practical, last-mile innovations that increase access, equity, and measurable outcomes for millions of people.

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

📚 Education

🌍 Social Impact

💰 $1M Grant on 2022-12

📋 Description

• Translate social sector problems into well-defined machine learning problems • Design and implement machine learning models and solutions • Collect, curate, preprocess, and transform data for modeling • Train, validate, and evaluate machine learning models • Support the deployment of scalable ML solutions in real-world environments • Define and track metrics to measure model performance and impact • Collaborate with cross-functional teams including engineers and domain experts • Interact with social sector partners to gather contextual and domain insights • Document models, processes, and key learnings • Contribute to team knowledge sharing and continuous improvement

🎯 Requirements

• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, etc.) • Hands-on experience with applied machine learning projects • Proficiency in programming and scripting languages (e.g., Python, R) • Strong skills in data mining, data cleaning, and exploratory data analysis • Experience in building, training, and implementing ML or statistical models • Ability to adapt ML solutions to the constraints of real-world, large-scale deployments • Strong communication and collaboration skills • Enthusiasm for working on socially impactful projects and learning in dynamic environments