Machine Learning Analyst / AMLS

Overview

Machine Learning Analyst role at Wadhwani AI, supporting data-driven AI solutions for underserved communities across the developing world, including dataset preparation and applying straightforward ML models under expert guidance.

What you'll do

• Work closely with data to support the development of ML and DL solutions.
• Conduct experiments under guidance and report results reliably.
• Learn to derive insights from experimental outcomes and determine appropriate next steps.
• Prepare, curate, and analyze datasets for training and evaluation.
• Monitor incoming data streams and perform regular quality checks.
• Assist in training and inference of ML models, including deep learning architectures.
• Contribute to well-documented and maintainable codebases.
• Document work clearly and consistently with high standards.
• Communicate and present experimental findings and results clearly within the team.
• Learn and apply best practices across ML development, coding, documentation, and experimentation.
• Collaborate effectively with project teams to meet milestones and deliverables.
• Proactively seek help and feedback when needed.
• Work efficiently with tools like Unix, VS Code, GitHub, and Docker.
• Develop proficiency with common ML tools and libraries such as Pandas, Scikit-learn, PyTorch, and Matplotlib.

What you'll need

• Prior training in Engineering or any related quantitative sciences discipline.
• No prior experience in Machine Learning or Deep Learning is required; candidates with ML/DL exposure are expected to have a clear and rigorous understanding of the concepts they are familiar with.
• Strong skills in data handling and logical problem-solving.
• Demonstrates quick learning ability and a strong work ethic.
• Willingness to take on any task, learn new tools, and adapt to evolving project needs.
• 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 0–1 years of work experience.
• Excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good.
• Solid coding skills in one or more languages, including Python, C++, or Java.
• Interest in applying software engineering practices to ML projects.
• Track record of project work in applied machine learning.
• Strong verbal and written communication skills in English.

Nice to have

• Experience in applying AI models to concrete real-world problems.

Details

• Location: Delhi, India.
• Benefits listed apply to Full Time employees (not Intern or Contract roles).