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  • Senior ML Engineer
    AI/ML

    Senior ML Engineer

    Kraków
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid

    Tech stack

      Machine Learning

      advanced

      Python

      advanced

      PyTorch

      regular

      Spark

      regular

      TensorFlow

      regular

      Amazon AWS

      regular

    Job description

    Online interview

    We're looking for a Senior Machine Learning Engineer to join an ambitious project revolutionizing digital advertising. This role offers the chance to work on an advanced ad-tech platform that integrates smart devices across TV, mobile, and desktop to deliver highly targeted, data-driven campaigns.


    What You'll Do

    • Design, build, and optimize scalable ML models and pipelines for real-time ad targeting and personalization.
    • Work with large-scale datasets to enhance audience segmentation and engagement.
    • Validate models to ensure accuracy, fairness, and performance on unseen data.
    • Research and implement cutting-edge ML technologies to elevate platform capabilities.
    • Automate deployment pipelines using CI/CD to maintain efficiency and reliability.
    • Collaborate with global teams on projects involving bidding strategies, recommendations, and churn prediction.



    Your profile:

    • 6+ years of experience in ML engineering or related fields.
    • Strong programming skills in Python, Go, or similar languages.
    • Expertise in ML frameworks (TensorFlow, PyTorch, Spark ML) and cloud platforms (AWS, SageMaker).
    • Familiarity with big data tools (Spark, Kafka, Flink) and CI/CD systems (Airflow, GitHub Actions).
    • Solid understanding of data structures, algorithms, and SQL performance tuning.
    • Experience with unit testing frameworks and best engineering practices.



    What We Offer

    • A collaborative environment with access to top industry professionals.
    • Hands-on experience with the latest ML tools and cloud technologies.
    • Training and mentorship to strengthen algorithmic and engineering skills.
    • Budget for conferences and industry events.
    • Competitive salary, private healthcare, life insurance, Multisport, and other perks.
    • Hybrid work model (3 days in the office – Kraków).
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    Undisclosed Salary

    Permanent

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