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    Senior Software Engineer - Kraków, Polska - Tesco Technology

    Tesco Technology
    Default job background
    W pełnym wymiarze godzin
    Opis

    About the Role:

    • Join our Data Science Engineering team as an experienced Machine Learning Engineer.
    • Collaborate with various professionals to deliver valuable outcomes for customers.
    • Work on scalable products enhancing customer service and operational efficiency.
    • Suitable for individuals with prior ML or Software Engineer experience.

    About the Team:

    • In Tesco Data Science & Analytics, we leverage data to benefit customers and communities.
    • Engage in diverse projects across supply chain, logistics, and more.
    • Opportunities in Operations Optimization, Commercial Decision Support, and Computer Vision.

    Company Description:

    Tesco, a major multinational retailer, values innovation and problem-solving.

    Join our Software Engineering team to impact customer experience and business efficiency.

    Collaborate with creative minds to tackle business challenges.

    As part of the Tesco Tech Hub network, contribute to cutting-edge solutions.

    Why Colleagues Enjoy Tesco:

    • Developing products and making an impact.
    • Supportive and accountable work environment.
    • Opportunities for learning and growth within small, collaborative teams.

    Additional Information:

    • Hybrid working model, blending remote and in-office collaboration.
    • A diverse range of benefits including healthcare, learning opportunities, and more.

    Key Requirements:

    • 4-5 years of experience in ML or Software Engineering.
    • Strong Software Engineering skills and Python proficiency.
    • Understanding of retail, logistics, and ecommerce.
    • Awareness of MLOps practices and emerging technologies.
    • Customer-centric approach with a focus on technical excellence.
    • Experience with scalable system development and data science projects.

    Additional Responsibilities Include:

    • Participating in system design discussions and translating requirements.
    • Collaborating with Data Scientists and Product teams throughout the software lifecycle.
    • Delivering high-quality code, performing code reviews, and optimizing performance.
    • Supporting production systems and driving continuous improvement.
    • Sharing knowledge and best practices within the engineering community.

    Tools: Python, Machine Learning, Splunk, Apache Spark, Azure, MLOps.

    Perks Include: International projects, private healthcare, sports subscription, and more.



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