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