Machine Learning Analyst

Job not on LinkedIn

🕒 August 11

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wadhwani AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

🍽️ Food & Beverage

🌾 Agriculture

💰 $1M Grant on 2022-12

Healthcare • Food & Beverage • Agriculture

Wadhwani AI is a non-profit technology organization that develops and deploys artificial intelligence solutions for social impact across India. It builds AI tools focused on improving education (reading fluency and teacher support), healthcare (early disease detection, maternal and newborn health, TB screening), and agriculture (yield improvement and pest management) to reach underserved populations at scale. Wadhwani AI partners with governments, frontline workers, and communities to create practical, last-mile innovations that increase access, equity, and measurable outcomes for millions of people.

📋 Description

• Create, prepare, curate, and analyze datasets for training and evaluation • Apply straightforward machine learning models to analyze and visualize results • Support the training and deployment of advanced machine learning and deep learning models under expert guidance • Contribute to the end-to-end machine learning lifecycle • Work closely with data to support ML and DL solution development • Conduct experiments under guidance and report results reliably • Derive insights from experimental outcomes and determine appropriate next steps • 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 • Communicate and present experimental findings and results within the team • Learn and apply best practices across ML development, coding, documentation, and experimentation • Collaborate with project teams to meet milestones and deliverables • Proactively seek help and feedback when needed • Work efficiently with Unix, VS Code, GitHub, and Docker • Develop proficiency with Pandas, Scikit-learn, PyTorch, and Matplotlib • Collaborate closely with data, models, and real-world users to ensure impactful and scalable solutions

🎯 Requirements

• Prior training in Engineering or any related quantitative sciences discipline • No prior experience in Machine Learning or Deep Learning is required • Strong skills in data handling and logical problem-solving • 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 • 0–1 years of work experience • Excellent communication skills and 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 applying AI models to concrete real-world problems is a plus • Strong verbal and written communication skills in English

🏖️ Benefits

• Medical Insurance • OPD Coverage • Accidental Insurance • Life Insurance • Employee Assistance Program • Annual Health Check-Ups • Onsite Medical Centers • Emergency Support System • Maternity Benefit • Travel Reimbursement for Expectant Mothers during Last Trimester • Paternity Benefit • Day Care Support Program • Travel Policy • Relocation and Deputation benefits • Employee PF Contribution • Gratuity • Leave Encashment • Unlimited Leave Policy • Professional Development Policy • Referral Bonuses • Internet and Telephone Allowance • Opportunity to take on roles beyond a defined job description • Opportunity to grow, thrive and contribute to society