About the Company: Our partner provides Databricks-focused consulting, supporting one of the largest companies in Europe that builds end-to-end AI solutions. Their clients span banking, insurance, and other enterprise sectors, where they implement scalable AI-driven data platforms and pipelines.
About the Role: This role is ideal for someone who is comfortable working throughout the entire pre-sales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. This role is not focused on BI, data platforms, or research work.
Project duration: 6 to 12 months
Key Responsibilities: * Own end-to-end delivery of AI solutions, from understanding client needs to production release * Design, build, and deploy AI/ML solutions (including LLM-based features) using Python * Work directly with clients, providing technical expertise and clear communication * Integrate APIs and external tools into production solutions * Build GenAI features that solve real business problems * Create interactive data apps and visualizations using Streamlit, Dash, Plotly, and pandas * Lead technical decisions and ensure high-quality, scalable implementations
Requirements: * 5+ years of experience in Data Science and/or Data Engineering roles. * Strong hands-on experience with Python and SQL. * Practical experience using common data tools and libraries such as pandas, Plotly, Streamlit, Dash. * Familiarity with Large Language Models (LLMs) and experience deploying ML models into production. * Experience working with APIs and confidently interpreting technical documentation. * Strong client-facing mindset with ownership of technical decisions and delivery outcomes. * Ability to work across the full pre-sales to delivery lifecycle. * Excellent technical communication skills. * English level B2 or higher.
We offer: * Long-term employment with competitive compensation, based on experience. * Possibility to work remotely. * An open, transparent and fun work culture. * Multi-national team and collaborative work environment. * Continuous knowledge sharing with engaged co-workers. * Career and professional growth opportunities.
