Informacje o stanowisku
Location: Wroclaw (hybrid, preferred) or remote (at least work from the office once a month)
What we offer:
- Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
- Exposure and hands on experience in the development of modern cloud data solutions
- Ability to deliver AI and ML solutions at scale
- Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
- Minimum 4 years of hands-on data science or software engineering experience
- Deep understanding of with LLMs, agents and foundation models
- Familiarity with enterprise applications like SAP, SFDC, Copilot Studio or Power Platforms and their AI offerings
- Proficiency in Python and CI/CD practices
- Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
- Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems
- strong focus on Copilot Studio and Power Platforms for this role
- English - min B2
Location: Wroclaw (hybrid, preferred) or remote (at least work from the office once a month)
What we offer:
- Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
- Exposure and hands on experience in the development of modern cloud data solutions
- Ability to deliver AI and ML solutions at scale
- Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
,[Low-code design of GenAI solutions: Design, finetune and evaluate GenAIs solution on proprietary data to meet business needs., Prompt Engineering: Craft, test, and optimize prompts to improve model outputs, GenAI Integration: Deploy and integrate LLMs into low-code platforms including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring., Research & Experimentation: Stay up-to-date 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: Data science, SAP, Power Platform, AI, Python, MLOps, Cloud, AWS, GCP, Azure
Praca WrocławWrocław - Oferty pracy w okolicznych lokalizacjach
