Job Description
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.