Technologies-expected : Python LLM Py Torch / Tensor Flow / Keras about-project : Our client’s project is all about simplifying the way researchers find, access, process, and share biomedical data to uncover new insights beyond its original purpose. It features a robust, end-to-end engine designed to support both new research and the reuse of existing data, seamlessly incorporating real-world data from clinical and non-clinical sources. We are seeking a Senior Data Scientist with expertise in Large Language Model (LLM) agent development to join our clients team. The ideal candidate will focus on the development of LLM-based applications, with a particular emphasis on agentic design, tool usage, and advanced reasoning. responsibilities : Develop LLM applications with a focus on agent design, including tool usage and decision-making capabilities Build and optimize data and deployment pipelines for LLM-based applications Collaborate with cross-functional teams to deliver scalable solutions for biomedical data processing Apply best practices in test-driven development, software lifecycle management, and MLOps Work effectively within virtual, geographically diverse teams to deliver customer-focused solutions requirements-expected : LLM Development: Hands-on experience with LLM applications, particularly in agentic design, tool usage, and reasoning MLOps & Data Engineering: Experience with technologies like Sage Maker, Vertex AI, and Kubeflow Cloud Solutions & Dev Ops: Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) Programming & Scripting: Proficient in Python and R, with strong automation and scripting skills (Bash, Git, CI/CD tools) Data Science Basics: Deep understanding of model training/testing, overfitting prevention, classification, clustering, and predictive modeling Toolkits: Experience with ML/AI frameworks (Py Torch, Tensor Flow, Keras, etc.) and data visualization tools (e.g., Tableau) Data Pipeline Technologies: Familiarity with tools such as Ansible, Bamboo, and Git for building and maintaining pipelines Minimum of 5+ years of professional experience in Data Science At least 2+ years of commercial experience in Data Engineering, ML Engineering, or MLOps Demonstrated experience in software engineering, with a focus on building scalable applications offered : Location: Gdańsk/ Warsaw Work model: 100% Remote Salary: 100 – 130 PLN / h Employment type: B2 B Benefits: multisport card, medical care, life insurance, trainings benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time