Job Description:
As a senior data scientist / AI engineer, you’ll play a key role in designing and developing AI solutions – from rapid PoCs to production-grade systems. You’ll work with cutting-edge models, have the freedom to design architectures, mentor teammates, and champion best practices. You’ll collaborate directly with clients, understand their business needs, and translate them into robust technical solutions.
Responsibilities:
- Design and develop custom AI solutions, including architecture design
- Research emerging technologies (open-source models, RAG frameworks, multimodal AI)
- Work with large language models (including prompt engineering, fine-tuning, in-context learning)
- Effectively implement tools like LangChain, LlamaIndex, OpenAI, HuggingFace, vector databases
- Collaborate with clients – gather requirements, consult, design, and defend solutions
- Optional involvement in internal R&D focused on molecular dynamics (if interested)
- Mentor junior colleagues and support their growth
Preferred Qualifications:
- Minimum 3 years of experience in AI/ML, software development, or data analytics
- Strong proficiency in Python and familiarity with AI/ML libraries (Pandas, Scikit-learn, Transformers, etc.)
- Ability to design solutions and lead their development
- Experience working with model APIs and open-source LLMs is a plus
- Experience with cloud platforms (AWS, GCP, Azure) is a plus
- English at minimum B2 level (spoken and written)
- Self-driven, curious, and eager to learn new things