Machine Learning Analyst / AMLS

The Machine Learning Analyst (ML Analyst) at Wadhwani AI plays a key role in developing data-driven AI solutions aimed at improving lives in underserved communities across the developing world. This role involves hands-on work with data, including creating, preparing, and curating datasets, as well as applying straightforward machine learning models to analyze and visualize results. ML Analysts will support the training and deployment of advanced machine learning and deep learning models under expert guidance. They will actively contribute to the end-to-end machine learning lifecycle, collaborating closely with data, models, and real-world users to ensure impactful and scalable solutions.

Pre-requisites

• The ML Analyst position is open to all with prior training in Engineering or any related quantitative sciences discipline.
• No prior experience in Machine Learning or Deep Learning is required.
• Candidates with exposure to ML/DL (if any) 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.

Roles and Responsibilities-

• 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.

Requirements

• ML Analysts 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 0-1 years of work experience.
• Candidates should have 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. Experience in applying AI models to concrete real-world problems is a plus.
• Strong verbal and written communication skills in English.

Benefits

Wadhwani AI - Full Time Employee Benefits (Not applicable for Intern or Contract Roles)

• Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.
• Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System.
• Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program
• Mobility Benefits - Travel Policy, Relocation and Deputation benefits,
• Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment
• Other Benefits - Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.

We care deeply about the well-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our website www.wadhwaniai.org to learn more about our work on AI for Social Impact. These are just some of the reasons why working with us is more than just a job - it's a chance to grow, thrive and contribute to society.