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Technologies-expected : Python Microsoft Azure about-project : Product Intelligence is part of commercial domain of Tesco. We help our customers and the communities where we operate get the most value from data. We look after Product data and associated entities and try to continuously enrich it. We have an opportunity to make difference in our our customers shop at Tesco. Product data plays crucial role across entire retail domain and enhancing it, creating new offering on top of it unlocks lot of Business values. responsibilities : Were looking for an engineer, preferably with 3-4 years of overall experience with about 1-2 years of relevant experience in developing, deploying, monitoring and AI based solution. You will be working to develop new services for improving Product data quality & Enrichment of Product data. This will involve approaches like using Gen AI & ML for creating these solutions. You will be involved in developing and improving ML algos and also taking it to production by orchestrating the MLOps system and microservice based on Java and python" requirements-expected : Very good Software Engineering skills, with experience of different programming languages and a good grasp of at least one language, ideally Python A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required. Awareness of emerging MLOps practices and tooling Model perfromance measurement and Fine tuning Demonstratable experience of building scalable and resilient systems Experience building solutions that run in the cloud, ideally Azure Should have hands-on experience in: custom AI model development (including selection of appropriate pretrained models if any, hyperparameter optimisation and fine-tuning) evaluation of models using the relevant metrics - should be able to justify choice of metrics over others depending on the usecases MLOps for deploying, maintaining & monitoring continuous improvement of models based on feedback loops offered : Permanent contract from the go – as a sign of our trust in your abilities Mac Book as your tool for work Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily Referral Bonus Sports activities with a personal trainer in the office Additional 4 days of paid leave to support your well-being and family life Up to 20% yearly salary bonus – based on both individual and business performance Private healthcare (Lux Med) Cafeteria & Multisport Supporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days Relocation Help Heightened income costs (KUP)