Job Description

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.
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:
ROLES AND RESPONSIBILITIES
Build robust machine learning solutions that address problems of societal importance, under the guidance of senior ML scientists.
Assist in the design and evaluation of automated speech recognition (ASR) solutions, both internal as well as submitted for funding to the India AI mission at the Ministry of Electronics and Information Technology (MEITy).
Translate challenges in the social sector into well-defined AI problems.
Develop and execute algorithms and models to solve the identified problems effectively.
Contribute to the successful and scalable deployment of AI solutions in real-world settings.
Define and apply appropriate evaluation metrics to assess the impact and effectiveness of deployed solutions.
Understand user challenges and contextual factors that influence the solution's performance and relevance.
Curate, clean, and transform datasets for use in training and validating ML models.
Conduct model training, validation, simulations, and extract meaningful insights from data.
Collaborate with cross-functional teams including engineers, solution leads, and domain experts to develop holistic AI solutions.
Interface with social sector organizations and stakeholders to ensure the solution meets on-ground needs.
REQUIREMENTS
Associate ML scientists will have a strong academic background in a quantitative field such as B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with a work experience of 3-6 years.
Candidates should preferably have experience with ASR methods.
Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good.
Solid software engineering skills across one or multiple languages including Python, C++, Java.
Interest in applying software engineering practices to ML projects.
Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
Strong verbal and written communication skills in English.