Data Engineer

Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.   Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.   Take the step towards your journey with us and join us as a Data/AI Engineer in Lithuania, or any other EU location.

You will:

• Design & build ML/LLM solutions: Develop, fine-tune, and deploy machine learning and large language model solutions - from predictive models and classifiers to GenAI applications, chatbots, and retrieval-augmented generation (RAG) systems;
• Build robust data foundations: Design and maintain the databases and data pipelines that feed your models, ensuring data is clean, structured, and production-ready;
• Engineer for production: Apply solid software engineering practices - version control, testing, CI/CD, monitoring - to take models from prototype to reliable, scalable production systems;
• Integrate AI into business workflows: Work closely with client teams to understand business needs and translate them into AI-powered solutions and process automation;
• Collaborate across teams: Partner with data analysts, BI developers, and consultants to combine AI capabilities with Power BI dashboards and broader data architecture;
• Stay ahead of the curve: Keep up with fast-moving developments in ML/LLM tooling and bring new techniques and best practices into our projects.

Requirements:

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field;
• 1–3 years of hands-on experience in machine learning engineering, AI/LLM development, or a related discipline;
• Strong experience with Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, or similar;
• Practical experience working with LLMs, including prompt engineering, fine-tuning, RAG, or agentic workflows;
• Solid and experience designing and working with relational or analytical databases;