Associate Machine Learning Scientist
SUMMARY
An Associate Machine Learning (ML) Scientist at Wadhwani AI will build scientifically rigorous and robustly evaluated AI solutions that will be deployed in order to bring AI to the benefit of underserved billions across the developing world.The role is ideal for someone with a strong foundation in machine learning and at least 2 years of experience, including hands-on expertise in speech processing or speech recognition.
ABOUT US -
Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact.
We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research.
In the Press:
Our Founder Donors are among the Top 100 AI Influencers
G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally.
Unlocking the potentials of AI in Public Health
Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org
Winner of the H&M Foundation Global Change Award 2022
Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows
Cultures page of Wadhwani AI -
ROLES AND RESPONSIBILITIES
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
We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at .
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