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 SageMaker, Vertex AI, and Kubeflow
Cloud Solutions & DevOps: 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 (PyTorch, TensorFlow, 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: B2B
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
