Machine Learning Scientist
- Company
Wadhwani AI
- Location
New Delhi
- Employment Type
Full-Time
-
Functional Category
Technology & Data
-
Experience
5 - 6 years
- Date Posted
23-Sep-2025
About Wadhwani AI
The Wadhwani Institute for Artificial Intelligence (Wadhwani AI) is an independent nonprofit institute founded by the Indian-American tech entrepreneurs Romesh and Sunil Wadhwani. We aim to harness the power of AI to find the break points that cause the world’s deepest problems — and then find innovative solutions to fix them. We specialize in AI research to address problems in public health agriculture education and infrastructure using tools such as Machine Learning Data Science Cognitive Reasoning and IoT. We are a global AI hub with ongoing collaborations with leading academic organisations global nonprofits think tanks and other private foundations who are interested in leveraging AI as a force for social good. We partner with government agencies and non-governmental organizations to help identify needs and to implement and scale the solutions
- Website
Overview of the Role
We are looking for a Machine Learning Scientist who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, data analysis, and simulations. They should be skilled in mentoring junior researchers, working in cross-functional teams, and contributing to both practical deployments and academic research. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential.
Job Description
● As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in problem definition and the development and execution of algorithms and solutions to the problems.
● In order to apply machine learning and related technologies for social good, 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 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.
● You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals.
● At Wadhwani AI, excellence as an individual contributor goes hand-in-hand with good teamwork and collaboration. You will mentor junior researchers, post-docs, and interns, and participate in recruiting and hiring activities. You will also be expected to interact with external partners of Wadhwani AI when required, and to make periodic visits to the communities from where
challenges are derived and where the solutions will be deployed.
Required & Preferred Qualifications
Skill
● Hands-on experience in deep learning for speech processing, including speech-to-text (STT),
text-to-speech (TTS), diarization, and noise reduction. (preferred)
● Experience with training and fine-tuning models such as BERT, Wav2Vec2, Conformer, and
Whisper is highly desirable. (Preferred)
Education
M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics
Experience
● relevant quantitative field with work experience of 6+ years or a PHd from a reputed institute. ● Solid understanding of model architectures such as CNNs, RNNs, and Transformers. ● 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, have experience in mentoring junior researchers 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. Familiarity with popular deep learning algorithms is a strong plus; however, demonstrated willingness and ability to learn will also be considered. ● Candidates should be comfortable working with cross-functional teams 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.