Artificial Intelligence Engineer
Role details
Job location
Tech stack
Job description
As AI wave is sweeping across IT services industry, every customer and domain are embarking upon AI adoption in a significant manner. This will be an opportunity to be part of a core group of AI Engineers working on developing AI led solutions for improved productivity and efficiencies across the landscape., * Assist in designing, building, and maintaining scalable data pipelines for structured and unstructured data
- Develop, train, and evaluate machine learning and deep learning models, including neural networks
- Work with Large Language Models (LLMs) for tasks such as text generation, summarization, and semantic analysis
- Contribute to Generative AI (GenAI) applications and experimentation
- Implement and integrate RESTful APIs for deploying AI models into production environments
- Collaborate with senior engineers and data scientists to improve model performance and reliability
- Participate in code reviews, testing, and documentation to ensure high-quality deliverables
- Support model monitoring, debugging, and optimization in real-world applications
- Stay up to date with emerging AI/ML trends and tools, contributing innovative ideas to the team
Requirements
Essential skills/knowledge/experience: (Up to 10, Avoid repetition)
- Proficiency in Python programming
- Foundational understanding of machine learning concepts and algorithms
- Familiarity with frameworks such as TensorFlow (or PyTorch equivalent)
- Basic knowledge of Natural Language Processing (NLP) techniques
- Understanding of Neural Networks and deep learning fundamentals
- Exposure to Generative AI concepts and LLMs (e.g., prompt engineering, embeddings)
- Knowledge of working with APIs and data exchange formats (e.g., JSON, REST)
- Preferable but not mandatory. Hands-on experience with working in HTML/CSS/JS.
- Familiarity with version control systems such as Git
- Strong analytical thinking and problem-solving skills
Desirable skills/knowledge/experience: (As applicable)
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Academic or project experience involving ML models, NLP, or AI systems
- Exposure to cloud platforms (e.g., AWS, Azure, GCP) is advantageous
- Understanding of software engineering principles and development lifecycle
- Internship, coursework, or personal projects demonstrating AI/ML application
- Strong communication skills and ability to work in a collaborative environment
Benefits & conditions
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
Diversity, Inclusion and Wellbeing
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.