Tesco Technology

Software Engineer (Machine Learning - MLOps)

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

MidHybryda·KrakówFull-time·Umowa o pracę

#459092·Dodano 12 dni temu·3

Źródło: nofluffjobs.com

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Tech Stack / Keywords

PythonMLOpsMachine learning Airflow Splunk Azure Apache Spark

Firma i stanowisko

Within Tesco Data & Analytics, the team builds and runs Tesco’s data platforms, architects and engineers data onto these platforms, provides tools to the analytics community, develops data products at scale, and maintains existing applications. The Data Science team works on projects across supply chain, logistics, store and online domains, including Operations Optimizations, Commercial Decision Support, Online Search and Recommendation, and Intelligent Edge applications such as Computer Vision.

Wymagania

Higher degree in engineering, computer science, mathematics, or science
Customer focus balancing outcome delivery with technical excellence
Experience building MLOps systems following best market standards
Commercial experience with impactful Data Science projects in complex organizations
Awareness of emerging MLOps tools such as feature stores and model lifecycle management
Knowledge of ML workflow/orchestration platforms like Airflow
Analytical mindset to tackle business problems
Proficiency in at least one programming language, ideally fluent in Python
Experience with version control tools such as Git
Experience with monitoring, logging, and alerting tools like Splunk or Grafana
Understanding of common data structures and algorithms
Experience working with open-source Data Science environments
Knowledge of big-data technologies such as Apache Spark
Experience building cloud solutions, ideally on Azure
Familiarity with software development methodologies including Scrum and Kanban
Advantageous: background or strong understanding of retail, logistics, and ecommerce sectors

Nice to have:

Awareness of additional emerging MLOps practices and tooling

Obowiązki

Participate in group discussions on system design and architecture
Work with product teams to communicate and translate needs into technical requirements
Collaborate 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 technical performance of data science solutions
Support production systems, resolve incidents, and perform root cause analysis
Continuously seek ways to evolve and improve technology, processes and practices
Share knowledge with the immediate engineering team
Collaborate with other teams on complex initiatives via working groups
Apply software development life cycle (SDLC) practices to create and release robust software

Benefity

Permanent contract from the start
MacBook provided as work tool
Certified technical training and access to learning platforms such as Udemy
Referral Bonus
Sports activities with a personal trainer in the office
Additional 4 days of paid leave to support well-being and family life
Up to 20% yearly salary bonus based on individual and business performance
Private healthcare (LuxMed)
Cafeteria & Multisport benefits
Expanded holiday entitlement for those not yet eligible for full holiday entitlement (from 20 to 25 days)
IP Tax Deductible Costs
PetHelp support for pets
Hybrid working arrangement: approximately 60% on-site in Kraków and 40% remote

Opieka zdrowotna

Karta sportowa

Płatny urlop

Premie

Inne informacje

The role requires candidates to be based in or near Kraków due to expected 60% on-site presence at office locations or local sites. Tesco is a Disability Confident Employer and committed to providing a fully inclusive and accessible recruitment process with reasonable adjustments as needed.

Tesco Technology

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