Senior AI/ML Engineer

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. In the CEE region, they have nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for multiple clients. The company specializes in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, working with technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• 6+ years of professional experience in Machine Learning / AI Engineering
• Strong Python programming skills
• Hands-on experience with PyTorch and/or TensorFlow and scikit-learn
• Proven experience building and deploying machine learning models in production environments
• Strong understanding of model evaluation, experimentation, performance monitoring, and ML lifecycle management
• Experience with MLflow or similar ML lifecycle management platforms
• Experience with cloud-based ML platforms, with Azure ML preferred; Vertex AI or AWS SageMaker also welcome
• Strong understanding of MLOps and CI/CD practices
• Experience working with structured and unstructured data
• Understanding of AI governance, responsible AI principles, model documentation, and compliance requirements
• Experience collaborating with cross-functional Agile teams and working directly with business stakeholders
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management skills
• Experience providing technical guidance or mentoring to other engineers

Nice to have:

• Experience with GenAI solutions and LLM-based applications
• Experience with vector databases and embedding models
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures
• Experience with document intelligence and OCR solutions
• Knowledge of Azure OpenAI services
• Experience in automotive, mobility, retail, or dealer-network environments
• Familiarity with blue/green, canary, rolling, or shadow deployment strategies
• Experience supporting AI systems in regulated environments

• Leading the design and delivery of complex machine learning and AI solutions aligned with business objectives
• Defining ML architecture standards, development patterns, and engineering best practices across AI initiatives
• Driving technical strategy and technology selection decisions
• Designing and overseeing end-to-end ML solutions covering data preparation, feature engineering, model training, evaluation, deployment, monitoring, and retraining
• Building and deploying production-grade ML models using modern ML frameworks and cloud-based platforms
• Collaborating with Data Engineers, MLOps Engineers, Solution Architects, and business stakeholders to ensure scalable and production-ready solutions
• Driving industrialization practices including CI/CD, observability, monitoring, model lifecycle management, and operational excellence
• Providing technical leadership and mentoring AI/ML Engineers
• Acting as a trusted technical advisor to business stakeholders and solution leadership
• Driving AI governance and responsible AI practices
• Overseeing AI Act compliance activities including risk classification, transparency, documentation, event logging, and audit readiness
• Supporting production troubleshooting and ensuring long-term maintainability and sustainability of AI solutions
• Contributing to knowledge sharing and capability building within internal AI and Automation teams

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