About the role
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.
- 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.
BenefitsWadhwani 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.