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.

● 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 analyse 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, Excel (pivot tables), Matplotlib, Weights & Biases

● The ML Analyst position is open to all with prior training in Engineering or any related field 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 a quick learning ability and a strong work ethic ● Willingness to take on any task, learn new tools, and adapt to evolving project needs