About the role
Practical experience applying LLMs, including:
Managing context windows effectively .
Selecting appropriate models for specific tasks .
Implementing safety guardrails and alignment techniques .
Decomposing complex tasks into model-friendly components .
Strong experience in evaluating and validating data pipelines and ML systems.
Familiarity with AI-specific evaluation methods, including both quantitative metrics and qualitative assessments.
Ability to make well-reasoned decisions grounded in technical understanding and real-world constraints.
Pragmatic approach to experimentation and solution design.
Actively engaged in learning and staying current with developments in AI and machine learning.
Curious, adaptable, and committed to continuous improvement.
Focused on delivering practical, scalable, and responsible AI solutions. 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 TechnologyToday, 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.
AI Data Scientist
We are looking for an AI Data Scientist with a strong foundation in large language models (LLMs) and a pragmatic approach to applying AI in real-world settings.
Focused on delivering practical, scalable, and responsible AI solutions.Skills and Experience
Broad understanding of LLM architectures, training methodologies, and usage patterns.Practical experience applying LLMs, including:
Managing context windows effectively .
Selecting appropriate models for specific tasks .
Implementing safety guardrails and alignment techniques .
Decomposing complex tasks into model-friendly components .
Strong experience in evaluating and validating data pipelines and ML systems.
Familiarity with AI-specific evaluation methods, including both quantitative metrics and qualitative assessments.
Ability to make well-reasoned decisions grounded in technical understanding and real-world constraints.
Pragmatic approach to experimentation and solution design.
Actively engaged in learning and staying current with developments in AI and machine learning.
Curious, adaptable, and committed to continuous improvement.
Focused on delivering practical, scalable, and responsible AI solutions. 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 TechnologyToday, 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.