At LeverX, we have had the privilege of delivering over 950 projects. With 20+ years in the market, our team of 1,800 is strong, reliable, and always evolving: learning, growing, and striving for excellence.
We are looking for a Data Scientist to join us. Let’s see if we are a good fit for each other!
What we offer:
- Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
- Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies.
- Global clients based in Europe and the US, including Fortune 500 companies.
- Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one.
- Healthy work atmosphere: On average, our employees stay in the company for 4+ years.
- Market-based compensation and regular performance reviews.
- Internal expert communities and courses.
- Perks to support your growth and well-being.
Required skills:
- 3+ years of experience in Machine Learning Engineering roles, with a focus on NLP/LLMs, generative AI, or related fields.
- Proficiency in Python (e.g., Hugging Face Transformers, LangChain, LlamaIndex, etc.), vector databases (Chroma, Vanna, PGVector), and cloud-based AI services.
- Understanding of LLM evaluation methodologies, ability to articulate the pros/cons of approaches.
- Upper-Intermediate English with strong client-facing skills — you can lead meetings, clarify requirements, and explain technical trade-offs confidently.
responsibilities:
- Architect and implement data processing pipelines for LLM-powered applications, focusing on RAG, text generation, and knowledge extraction from customer data.
- Develop and execute performance evaluation protocols for large language models (LLMs), including the analysis of key metrics and trade-offs for various AI approaches.
- Participate in the end-to-end development of LLM solutions, from requirements gathering and prototyping PoCs to deploying scalable APIs and microservices.
- Stay ahead of AI advancements by researching and adopting emerging techniques like fine-tuning, prompt engineering, and multimodality.
