Software Engineer
2 tygodni temu
Miejsce pracy:
Kraków Technologies we use Expected Python
Splunk
Git
Optional Microsoft Azure
Apache Spark
Splunk
Grafana
Operating system macOS
About the 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.
This role would suit someone with previous experience working as a ML Engineer or a Software Engineer.Your 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
Our requirements You come from either a Software Engineering or ML Engineering background with a good understanding Programming (Python), Machine Learning and MLOps and bringing data science solutions into production.
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
A background or understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.
Awareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.
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. 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 is desirable, but not required.
Experience building solutions that run in the cloud, ideally Azure is desirable, but not required
Experience using job scheduling tools, like Airflow, is desirable but not required
Experience with software development methodologies including Scrum & Kanban
This is how we organize our work This is how we work in house
scrum
kanban
This is how we work on a project Continuous Deployment
Continuous Integration
What we offer 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, 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 (LuxMed)
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)
Hybrid working Currently, at Tesco Technology we work in a hybrid model. We love working from home, but we also love connecting, collaborating and innovating with our colleagues in person. We meet in our office in Kraków for 2 days a week.
"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."
Tesco Technology Tesco Technology is multi-functional and specialist team that drives operational excellence of services improves scale for our systems and processes globally and creates business leading capabilities.
We are an agile team of an industry-leading team of engineers.We create the future continuous integration and delivery tools for Colleague and Customer & Loyalty areas, solving problems, and developing new features through quality, scalable, performant, and maintainable technical solutions.
The solutions that we are responsible for will have a global reach, impacting hundreds of thousands of Tesco colleagues worldwide.
As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Hungary, and India.
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