Senior Applied AI Scientist

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, their nearly 1,000 experts deliver modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, and Spotify. They work with technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• 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, TensorFlow, 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
• Fluent English

Nice to have:

• Automotive industry experience
• Familiarity with Generative Engine Optimization (GEO) concepts
• Experience with Scala-based ecosystems
• Knowledge of search technologies such as Elasticsearch, OpenSearch, or similar platforms

• Develop AI-powered solutions to improve organic discoverability of vehicle inventory
• Build scalable AI-driven solutions for generating vehicle descriptions, model content, and SEO/GEO landing pages
• Develop search intent clustering models for automotive search queries
• Identify and predict high-potential combinations of brands, models, locations, and vehicle inventory
• Design and optimize ranking signals to improve search visibility and drive organic traffic growth
• Collaborate with Product Managers, Product Analysts, and Engineers to identify and prioritize growth opportunities
• Measure and evaluate impact of AI-driven SEO initiatives through experimentation and data analysis
• Work closely with engineering teams to deploy, monitor, and maintain production-grade AI solutions
• Support evolution of content and search strategies for traditional SEO and Generative Engine Optimization (GEO) channels

Work from the European Union region and a work permit are required.

The administrator of Personal Data is Xebia Sp. z o.o., ul. Sucha 3, 50-086 Wrocław, Poland. Candidates provide additional personal data voluntarily, subject to GDPR. Contact via [email protected]. Privacy Policy available on the company's website.