Responsibilites :
- Model Development & Fine-Tuning : Design, train, fine-tune, and evaluate large language models (LLMs) using domain-specific or proprietary data to meet business needs.
- Prompt Engineering : Craft, test, and optimize prompts to improve model outputs
- LLM Integration : Deploy and integrate LLMs into production applications, including agentic solutions, RAG, chatbots, designing APIs, latency / throughput optimization, and monitoring.
- Research & Experimentation : Stay current with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases.
- Stakeholder Collaboration : Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.
Requirements :
Minimum 2 years of hands-on experience with LLMs, NLP, or foundation model development in an industry setting.Deep understanding of transformer-based models and modern NLP techniques.Proficiency in Python and experience with common LLM / NLP libraries and frameworksExperience with fine-tuning and serving LLMsFamiliarity with vector databases and retrieval-augmented generation (RAG) pipelinesExperience with MLOps, cloud infrastructure (AWS / GCP / Azure), and model deployment tools for LLM-based systems.What we offer :
Deep understanding of the domain knowledge in the field of molecular biology and biotechnologyExposure and hands on experience in the development of modern cloud data solutionsAbility to deliver AI and ML solutions at scaleOpportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domainslocation : Wroclaw (hybrid)
start : August-October
seniority : 2+ years experience