Software Engineer (Machine Learning - MLOps)

20k - 25k PLN20 000 - 25 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·KrakówFull-time·Umowa o pracę

#473470·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning Airflow Azure Splunk PythonMLOpsApache Spark

Podsumowanie oferty

Machine Learning Engineer in Tesco’s Data Science Engineering team, helping deliver scalable data science products across supply chain, logistics, stores and online. The role brings solutions into production using MLOps and Python, and includes building solutions with GenAI.

Wymagania

A higher degree in engineering, computer science, mathematics or science.
Customer focus and the ability to balance outcome delivery with technical excellence and apply technical skills to real-world business problems.
Demonstrable experience building MLOps systems according to market standards.
Commercial experience contributing to high-impact Data Science projects in complex organizations.
An analytical mindset and the ability to tackle specific business problems.
Experience with different programming languages and a good grasp of at least one; the ideal candidate is fluent in Python.
Experience using version control (Git) and related software lifecycle tooling.
Experience with monitoring, logging and alerting tools such as Splunk or Grafana.
Understanding of common data structures and algorithms.
Experience working with open-source Data Science environments.
Knowledge of open-source big-data technologies such as Apache Spark.
Experience building solutions that run in the cloud, ideally Azure.
Experience with software development methodologies including Scrum and Kanban.

Nice to have:

Awareness of emerging MLOps practices and tooling, such as feature stores and model lifecycle management.
A background or strong understanding of the retail sector, logistics and/or ecommerce.

Obowiązki

Participate in group discussions on system design and architecture.
Work with product teams to communicate and translate needs into technical requirements.
Work with Data Scientists, Software Engineers and Product teams across the software lifecycle.
Deliver high-quality code and solutions, bringing solutions into production.
Perform code reviews to optimize the technical performance of data science solutions.
Support production systems, resolve incidents and perform root cause analysis.
Look for ways to evolve and improve technology, processes and practices.
Share knowledge with the immediate engineering team.
Collaborate with other teams on complex initiatives through working groups.
Improve and build solutions using GenAI.
Apply SDLC practices to create and release robust software.

Benefity

A MacBook for work.
Certified technical training and learning platforms such as Udemy.
Referral bonus.
Sports activities with a personal trainer at the office.
Four additional days of paid leave to support well-being and family life.
Annual salary bonus of up to 20%, based on individual and business performance.
Private healthcare (LuxMed).
Cafeteria and Multisport.
An expanded holiday entitlement from 20 to 25 days for those not yet eligible for the full entitlement.
IP tax-deductible costs.
PetHelp support and care for pets.

Premie

Płatny urlop

Płatne święta

Opieka zdrowotna

Karta sportowa

Firmowa stołówka

Inne informacje

Must be based in or near Kraków; the role requires spending 60% of the week at office locations or local sites.

Tesco Technology

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