Senior Applied AI Scientist; AI​/DS

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and Get In Data , a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, All Saints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

• developing AI-powered solutions to improve the organic discoverability of vehicle inventory,
• building scalable AI-driven solutions for generating vehicle descriptions, model content, and SEO/GEO landing pages,
• developing search intent clustering models for automotive search queries,
• identifying and predicting high-potential combinations of brands, models, locations, and vehicle inventory,
• designing and optimizing ranking signals to improve search visibility and drive organic traffic growth,
• collaborating with Product Managers, Product Analysts, and Engineers to identify and prioritize growth opportunities,
• measuring and evaluating the impact of AI-driven SEO initiatives through experimentation and data analysis,
• working closely with engineering teams to deploy, monitor, and maintain production-grade AI solutions,
• supporting the evolution of content and search strategies for both traditional SEO and emerging Generative Engine Optimization (GEO) channels.

• 5+ years of experience in Data Science, Machine Learning, Applied AI, or related roles,
• strong practical experience with NLP, LLMs, or content generation systems,
• experience developing and deploying machine learning solutions in production environments,
• proficiency in Python and modern ML frameworks (PyTorch, Tensor Flow, Scikit-learn, Hugging Face),
• experience working with large datasets and experimentation methodologies,
• experience with SEO, search ranking, recommendation systems, or information retrieval,
• experience with content optimization and large-scale content generation,
• familiarity with AWS-based environments,
• experience working with Kubernetes and cloud-native architectures,
• background in marketplace, classifieds, e-commerce, or consumer internet platforms,
• experience measuring business impact through A/B testing and experimentation,
• strong understanding of statistical analysis and hypothesis testing,
• experience collaborating with engineering and product teams in agile environments,
• ability to communicate complex technical concepts to non-technical stakeholders,

• automotive industry experience,
• familiarity with Generative Engine Optimization (GEO) concepts,
• experience with Scala-based ecosystems,
• knowledge of search technologies such as Elasticsearch, Open Search, or similar platforms.

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ent Interview – Decision