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Software Engineer - Kraków, Polska - Tesco Technology
Opis
Technologies-expected : Git technologies-optional : Python Splunk Grafana Apache Spark Microsoft Azure about-project : We are looking for a Machine Learning Engineer, to join our growing Data Science Engineering team.
You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers.
You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.
About the Team:
Within Tesco Data Science & Analytics, we help our customers and the communities where we operate get the most value from data.
We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale.
Our Data Science team are involved in a broad range of projects, spanning across supply chain, logistics, store and online.
Forecasting and Range Optimization), Online (e.g.
Search and Recommendation) and Intelligent Edge (e.g.
Computer Vision).
Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimization through to deployment of solutions on the edge, cloud and big-data environments.
responsibilities :
Participating in group discussions on system design and architecture Working with product teams to communicate and translate needs into technical requirements Working alongside our Data Scientists, Software Engineers and Product teams across the software lifecycle Delivering high quality code and solutions, bringing solutions into production Performing code reviews to optimize technical performance of data science solutions Supporting production systems, resolving incidents, and performing root cause analysis Look for how we can evolve and improve our technology, processes and practices Sharing knowledge with the immediate engineering team Applying SDLC practices to create and release robust software requirements-expected : 2-3 years of experience working as a Software Engineer (experience working with Python Machine Learning project is beneficial) Strong Software Engineering skills, with experience of different programming languages and a good grasp of at least one language, ideally Python Customer focus with the right balance between outcome delivery and technical excellence The ability to apply technical skills and know-how to solving real world business problems Knowledge of building scalable and resilient systems.
Practical experience is advantageous but not required An analytical mind set and the ability to tackle specific business problems Use of version control (Git) and related software lifecycle tooling (CI/CD) Desirable experience with tooling for monitoring, logging and alerting e.g.