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.

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
- 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

**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