Machine Learning Scientist (LLM)

Summary

We are looking for a Machine Learning Scientist who is passionate about aiding India’s emergence into an AI superpower and about applying AI and ML to solve high-impact societal challenges, especially in the area of large language models (LLMs). The ideal candidate will have a strong research or applied background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, including LLMs, data analysis, and simulations. They should enjoy interfacing with disparate internal and external stakeholders, mentoring junior scientists and developers, working in cross-functional teams, and contributing to ML evaluations and practical deployments. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential.

ABOUT US - https://www.wadhwaniai.org/

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.

Pertinent to this role, Wadhwani AI also works closely with the Ministry of Electronics and Information Technology (MEITy), Government of India, in helping flesh out the various pillars of the India AI mission.

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
  
  
  

Roles And Responsibilities

• As an ML Scientist working with our team at the India AI Mission, you will be responsible for critically evaluating LLM solutions, building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition and the development and execution of algorithms and solutions to the problems.
• You will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning administration, engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations and are encouraged to collaborate with researchers across the world.
  
  
  

Requirements

• This role requires the candidate to work out of the India AI Mission office at MEITy, Government of India.
• 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 work experience of 6+ years or a PHd from a reputed institute.
• We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should have a strong research background, be familiar with the state of the art especially in foundational models and LLMs, have experience in mentoring junior scientists and developers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations.
• Candidates should be completely comfortable working with cross-functional teams in an uncertain and fast-paced environment, and must have excellent oral and written communication skills and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus.
• Candidates should be passionate about using their technical skills to solve large societally important problems.