Machine Learning Analyst

<h3>📋 Description</h3> • 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 <h3>🎯 Requirements</h3> • 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 a quick learning ability, and a strong work ethic • Willingness to take on any task, learn new tools, and adapt to evolving project needs