Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Working hours 45 Apply by 30-Jan-2026
About the role
AI Engineer / ML Engineer
We are seeking a Machine Learning Engineer / AI Engineer to help build a central team to support Generative AI use cases across Tesco. The team will be tasked with addressing common pain points either by assessing 3rd party options or building our own capabilities. You will also be able to contribute directly to production code and fully fledged products.
What is in it for you
At Tesco, we are committed to providing the best for you.
As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable.
Salary - Your fixed pay is the guaranteed pay as per your contract of employment.
Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy.
Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.
Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.
Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.
You will be responsible for
You will be responsible for:
You will need
You will need:
Strong programming skills, with a preference for Python.
A solid foundation in backend software development and system integration.
Demonstrable awareness of emerging agentic AI approaches (e.g., MCP, A2A).
At least one framework experience Langchain, LLamaIndex or similar.
Hands-on experience building GenAI systems (e.g., RAG, LLM).
Real-world experience with ML Engineering / MLOps.
Proven ability to build and deploy machine learning systems beyond the prototyping phase.
Experience with MLOps tools and workflows.
Experience with model observability and Monitoring
An understanding of infrastructure trade-offs and the ability to build scalable, reliable systems.
A proactive, impact-oriented mindset, with a strong desire to learn and grow.
SDE-3 MUST have’s:
Frameworks and Platform Experience:
At least one cloud AI stack experience. Azure preferred
Must have good experience on one datastore (PostGres, Couchbase/Redis)
Must know how to write Rest-API (Python, FASTAPI)
Team
At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalize customer experiences, optimize operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.
We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge-sharing events and a collaborative, inclusive environment that values work-life balance and professional growth.
About us
Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.
Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues
Tesco Technology
Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles.
At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations – from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.