Odpovědnosti

Původní popisek.

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

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O pozici / o projektu

Původní popisek.

About the role

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.

This role would suit someone with previous experience working as an ML Engineer / Data Science Engineer .

About the Team:

Within Tesco Data & 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, develop data products at scale and maintain existing applications.

Our Data Science team are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimizations, Commercial Decision Support (e.g. Forecasting, Range Optimization, Supply Chain support), 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.

What is in it for you

Salary

UoP 20 000 - 25 000 PLN gross/month

Hybrid working

We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about different flexible working options. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a career, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support.

This role requires you to be based in or near Kraków, as you will spend 60% (3 days) of your week collaborating with colleagues at our office locations or local sites and the rest remotely.

Benefits

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):

Permanent contract from the go – as a sign of our trust in your abilities
MacBook as your tool for work
Learning opportunities - certified technical training and learning platforms like Udemy
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 (LuxMed)
Cafeteria & Multisport
Supporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days
IP Tax Deductible Costs
PetHelp – support and care for your pets

If that sounds exciting, then we'd love to hear from you!

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

Detail pracovní nabídky

Ihned
Práce na dálku po dobu 2 dnů v týdnu

Metodika práce

Agile management

Výhody v kanceláři

Bezplatná káva
Jídelna
Parkování kol
Zábavná zóna
Bezplatné parkování
Bez požadavku na dress code
Moderní kancelář
Atmosféra startupu

Výhody

Malé týmy
Mezinárodní projekty

Software Engineer (Machine Learning - MLOps) @ Tesco Technology

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