Agentic AI Engineer

About the Role

We are seeking a motivated and technically strong early-career professional with advanced Python skills and hands-on experience in machine learning projects and AI-focused internships during undergraduate or master’s studies. The ideal candidate is passionate about applying machine learning and agentic AI techniques to real-world problems, thrives in collaborative environments, and has the curiosity to explore new AI methods and tools.

Key Responsibilities
• 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.

Required Qualifications
• 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.

Preferred Qualifications
• Experience with deep learning (CNNs, RNNs, Transformers) or natural language processing.
• Exposure to cloud platforms (AWS, GCP, Azure) or MLOps tools (Docker, MLflow, Kubernetes).
• Contributions to open-source projects or published research in AI/ML.
• Strong analytical and problem-solving skills with attention to detail.

What We Offer
• Opportunity to work on impactful AI/ML and Agentic AI projects. 
• Mentorship from experienced AI scientists and engineers.
• A collaborative and inclusive culture that values innovation and curiosity.
• Growth pathways into specialized AI/ML engineering, research, or applied data science roles.Job Title: AI/ML Engineer – Entry Level