Machine Learning Engineer

Role overview

Join the team to transform patient care using machine learning expertise. The role focuses on building innovative healthcare solutions with Python, TensorFlow/Keras or PyTorch, LLM frameworks, and data-analysis tools, while sharing knowledge with the team.

Requirements

• Strong experience developing and deploying machine learning models
• Strong knowledge of one Python machine learning framework: TensorFlow/Keras
• Strong knowledge of data analysis and presentation tools, including Matplotlib and Pandas
• Proficiency in Python
• Good knowledge of one LLM framework: LangChain, LlamaIndex, or PydanticAI
• Good knowledge of object-oriented programming
• Good knowledge of a popular Python web framework or library, such as FastAPI or Django
• Fair knowledge of relational databases; non-relational database experience is a plus
• Knowledge of Unix systems and shell
• Experience with CI/CD, deployment tools, and Git
• Enthusiasm for sharing knowledge
• Fluent written and spoken English
• Fluent written and spoken Polish

Nice to have

• Experience with AWS or a similar platform
• Experience with Docker

Responsibilities

• Work with LLM models, NLP tools, and AI agents
• Develop, integrate, and deploy machine learning models
• Support backend development
• Continuously share knowledge with the team

What We Value

• Clarity, focus, and dedication to building digital products that improve healthcare and quality of life
• Boldness, creativity, and a proactive approach to challenges
• Ownership, ambition, and delivery of refined, high-quality solutions
• Meaningful innovation that makes medical discoveries accessible and human-centered
• Effective collaboration with technical and non-technical team members in a dynamic, iterative environment

What we offer

• Dedicated time and space for open-source contributions and personal projects
• Modern, comfortable office in central Wrocław
• Flexible working hours
• Multisport benefit
• Private healthcare
• Reimbursement for necessary and non-necessary office visits for remote team members
• Access to the Worksmile Cafeteria System and non-wage benefits
• Option to join a comprehensive insurance plan
• Team-building and development microfunds

Recruitment process

• Initial phone interview (20 minutes): discussion of experience and mutual fit
• Recruitment task: a short task to complete within three working days
• Technical interview (45–60 minutes): discussion of technical knowledge and the task solution with a senior team member
• Culture fit meeting (20–30 minutes): discussion with the IT Team Manager and recruiter; professional work references requested
• Meeting with the CEO (15 minutes): discussion of the organization’s vision, mission, and long-term goals
• Decision and feedback after all stages are complete