Machine Learning Engineer
About Momentum:
At Momentum, we accelerate digital innovation in healthcare. Our mission is to empower HealthTech startups and scaleups by transforming ideas into cutting-edge digital products. We combine deep industry expertise, strategic consulting, and full-stack development to create solutions that drive growth, compliance, and patient impact. We believe in technology that makes healthcare more accessible, efficient, and human-centered.
Role overview:
Join Momentum and transform patient care with your ML expertise! We're seeking a passionate Machine Learning Engineer with Python, skilled in TensorFlow/Keras, LangChain/LlamaIndex, and data analysis tools. If you love building innovative solutions and are excited to share your knowledge, we'd love to welcome you to our team!
Requirements:
Strong experience with development and deployment of machine learning models
Strong knowledge of one of Python machine learning frameworks (Tensorflow/Keras)
Strong knowledge of data analysis and presentation tools (Matplotlib, Pandas, …)
Proficiency in Python language
Good knowledge of one of LLM frameworks (LangChain/LlamaIndex)
Good knowledge of object oriented programming
Good knowledge of any of the popular Python web frameworks/libraries (Django, FastAPI)
Fair knowledge of relational databases (experience with non-relational databases 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 similar platform
Experience with Docker
Responsibilities:
Work with LLM models, NLP tools and AI agents
Develop, integrate and deploy machine learning models
Help with backend development
Constantly share knowledge with the rest of your team
What We Value:
Clarity in focus and dedication to building digital products that elevate healthcare and improve quality of life.
Flair to face challenges with boldness, creativity, and a proactive mindset.
Grit to take ownership, stay ambitious, and deliver refined, high-quality solutions.
Impact through meaningful innovation that makes pioneering medical discoveries accessible and human-centered.
Ability to collaborate efficiently in teams of technical and non-technical individuals, and comfortable working in a dynamic environment with evolving objectives and iteration with users.
What we offer:
Modern Workspace: We provide a modern and comfortable office environment, right in the heart of Wrocław.
Work-Life Harmony: Enjoy flexible working hours, allowing you to find the perfect balance between work and life.
Stay Active: Our company Multisport benefit encourages you to stay fit and take care of your well-being.
Your Health Matters: Access to private healthcare ensures you're taken care of when you need it most.
Remote Support: For our remote team members we offer reimbursement for necessary and the non-necessary office visits.
Freedom of choice: We understand that we all have different lifestyles and needs, that's why the Worksmile Cafeteria System gives you access to hundreds of non-wage benefits to choose from.
Security and peace of mind: We provide the option to join our comprehensive insurance plan, for your and your loved one’s security.
Team Building & Development Fun(d): We believe in the power of fun and development, and microfunds are here to bring some excitement into your work-life or you can access them to develop your skills and gain knowledge.
Thinking of applying? Awesome! Here’s what happens next:
As a standard, we keep our recruitment processes short and to the point. Here is a detailed breakdown of the workflow for this position:
Initial phone interview (20 min): We'll have a quick chat to get to know each other and discuss your experience. It's a great opportunity for us both to see if there's a good fit.
Recruitment task: Following the interview, we will send you a short task to complete. You will have three working days to complete and return it.
Technical interview (45-60 min): If your task is successful, you'll be invited to a technical interview. You will meet with a senior team member to dive deeper into your technical knowledge and discuss your solution.
Culture fit meeting (20-30 min): Next, you'll have a relaxed chat with our IT Team Manager and a recruiter. We'll talk about our company values and see if your working style aligns with ours. As part of this stage, we will also ask you to provide professional work references to help us better understand your experience in the context of teamwork and our company culture.
Meeting with the CEO (15 min): If you successfully pass the previous stages, we will invite you to meet with our CEO. This is a unique chance to hear firsthand about the company's vision, mission, and long-term goals, and to ask questions about the direction we are heading
Decision and feedback: After all the stages are complete, we'll get back to you with our final decision and detailed feedback on your application.
If you have any questions, get in touch with us!
Machine Learning Engineer
Machine Learning Engineer