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 an 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 features, improving 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 colourful 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!
