• Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers as well as internal TCS AI and Data business platforms. • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model performance, and present findings with clear metrics and visualizations. • Stay updated on emerging AI/ML and Agentic AI research and contribute innovative ideas to improve products and processes. • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data preprocessing, feature engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code workflows.