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  • AI Engineer
    New
    AI/ML

    AI Engineer

    5 027 - 7 258 USDNet/month - B2B
    4 193 - 6 057 USDGross/month - Permanent
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B, Permanent
    Operating mode
    Hybrid

    Tech stack

      AI

      advanced

      Python

      regular

      JavaScript

      regular

      TypeScript

      regular

      Cloud

      regular

    Job description

    Online interview

    🔹 ABOUT THE TEAM AND THE PROJECT


    The team you’ll be joining has strong foundations, with a core group already in place and making significant strides in AI innovation. We’re now looking to welcome new team members, particularly those with Data Engineering expertise, to further enhance our capabilities. The team focuses on two main objectives: driving AI innovation across Schibsted Marketplaces' business verticals and experimenting with a more radical approach to AI in product development. You’ll contribute to cutting-edge AI solutions while helping to strengthen and scale the existing platforms.


    🔹 ABOUT THE ROLE


    As a mid/senior AI/Data Engineer, your role will be to develop innovative AI solutions that can reshape how we use data and technology across Schibsted’s platforms. You’ll also be responsible for enhancing existing AI featuresimproving scalability, and integrating new capabilities into current systems. This position offers the chance to explore and implement pioneering AI technologies, while also ensuring the robustness of ongoing AI-powered functionalities. You’ll work closely with cross-functional teams, including data scientists, software engineers, and product owners, to deliver data-driven solutions that solve real business challenges. The technologies you'll primarily use include Typescript, Python, cloud platforms like AWS or GCP, and MLOps frameworks to streamline the AI lifecycle.


    What makes this role special?

    What makes this role unique is the chance to be part of a well-established, high-performing AI team while contributing to its further growth and innovation. You will balance working on pioneering AI projects with enhancing existing platforms, applying a mix of creativity and engineering rigor. This is a highly collaborative environment, where experimentation is encouraged, and your work will have a tangible impact on the future of Schibsted’s digital products and services. With access to cutting-edge AI technologies and large datasets, you’ll have the opportunity to drive high-impact solutions and sharpen your skills in data engineering and AI development.


    What you can learn with us:

    • Cutting-edge AI techniques and innovations, with a focus on experimentation and innovative problem-solving.
    • Best practices in building, scaling, and deploying AI models in production, using cloud platforms (AWS, GCP).
    • How to blend innovation with the enhancement of existing AI solutions to drive business outcomes.
    • Experience with large-scale data processing and AI infrastructure.
    • Opportunities to collaborate on high-visibility, high-impact AI projects within Schibsted’s product ecosystem.
    • Exposure to emerging trends and technologies in AI and machine learning, including NLP, recommendation systems, and computer vision.
    • Leveraging AI tools to automate routine tasks, enhance decision-making, and improve operational efficiency


    🔹 ABOUT YOU

    • Thorough knowledge of AI and machine learning concepts, with practical experience using relevant frameworks and tools.
    • Curious and experienced in utilizing AI tools like GitHub, Copilot, and ChatGPT to automate and enhance development processes. You should be comfortable leveraging these technologies to streamline coding tasks, improve productivity, and drive innovation in the development workflow.
    • Extensive experience in full-stack development, with a particular focus on AI technologies.
    • Well-versed in Python, React, JavaScript/TypeScript, and Node.js, along with proficiency in version control tools like Git.
    • Familiarity with NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers for processing text data.
    • Experience working with cloud platforms like AWS, Google Cloud, or Azure, leveraging their AI and machine learning services.
    • Strong grasp of CI/CD pipelines and MLOps practices for seamless AI model integration, continuous delivery, and deployment.
    • Capable of working independently, contributing new ideas and perspectives to the team.
    • Excellent communication skills and a collaborative approach to teamwork.
    • Full professional proficiency in English and Polish.


    We work in a hybrid way and would like to catch up with you at our vibrant and colorful office in Gdańsk/Kraków 1-2 days per week. This allows for collaboration and meaningful connections with the team. If you’re not the working-from-home kind of person, you are of course welcome in our office every day!



    🎯 BENEFITS


    🔹 Yearly bonus (STI - Short Term Incentive) up to 18% according to seniority level

    🔹 Tax-deductible costs of 50% for IT creators

    🔹 Training budget of 4000 PLN per year that can be used for books, conferences, online courses, you name it

    🔹 Home office supplement 3000 PLN of financial support to make your WFH more enjoyable and healthy

    🔹 Social package 500 benefit points (1 point = 1zł) transferrable to tickets, multisport, medical care, or a prepaid card

    🔹 4 extra days off. We’re not minimalists. That’s why you get 4 days more than Polish law requires

    🔹 In-house training for improving your business, tech & soft skills during working hours

    • Tech Jump - a mentoring program for learning completely new frameworks and programming languages 
    • School of leadership competencies - training for employees aspiring to become leaders
    • Leaders Academy - training for leaders developing their competence

    🔹 Mental health support. 

    • Voucher for 3 online sessions with a professional therapist 
    • Series of mental health-oriented webinars

    🔹 Flexibility. Sometimes you need to do your stuff and start a day later thanks to flexible working hours

    🔹 Top-notch equipment. Most modern stuff with macOS or Windows on board & mobile with either Android or iOS

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