AI/ML Engineer (Krakow/Wroclaw/Warsaw, Poland)

Who We Are

Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 200 projects and have grown to 140+ talented individuals across 5 office locations.

Unit8’s mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and “engineering for good” causes. You can learn more about what we are passionate about at Unit8 Talks and on our website you can find more useful information about our business and recruiting process.

About You

• MSc level in Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
• You are a proficient senior AI/ML engineer (3+ years) who knows the fundamentals of computer science and has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems.
• You are proficient in Python.
• AI engineering: You are already familiar with prompt engineering, tool calling (MCP), and frameworks like langchain, langgraph, litelllm, and adk. Knowledge about Google GenAI SDK and GCP is a plus.
• ML engineering: You are already familiar with Hugging Face, sentence embeddings, clustering, and NLP methods in general.
• Pragmatic attitude; you are not afraid to take an active part in the engineering aspects of projects.
• Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.
• You understand the value of teamwork.
• You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
• You are willing to travel to meet with our clients and the team (Might be once or twice in the USA a year).
• You are able to work in the late afternoons (occasionally up to 7:30 pm)
• You are eligible to register as a sole trader (self-employment) in Poland. Don’t worry if you don’t know how to do the registration, we can help with that.

What You’ll Do

• You will primarily work on agentic tool calling systems (MCP, multi-agent architecture, Vertex AI, prompt engineering), to contribute to the implementation and enhancement of the RAG and TextToSQL systems.
• Work with our customers to understand their challenges, design and implement solutions.
• Evaluate, compare, and present results to technical and non-technical audiences.
• Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
• Closely collaborate with other data scientists, software engineers, and business stakeholders.
• Use software best practices in continuous integration and delivery, versioning, and data evolution.
• Work in multi-functional agile teams to continuously experiment, iterate, and deliver on new product objectives.
• Note: the client is in California, calls will be in the evenings (usually not later than 7:30 pm).

What we offer

• Opportunity to shape the expansion of one of the leading Swiss data & AI consultancies
• Compensation package including base salary, yearly bonus based on both individual + company performance
• Above the norm flexibility regarding when and from where you work, as long as both client and internal commitments are met
• Work on cutting-edge data, AI & analytics topics (e.g., Generative AI) that have real impact across industries
• Dedicated time and budget for training and pro-bono projects
• 30 paid days off
• Private health care and Multisport
• Cross offices/company-wide frequent events (off-site or online), as well as a quarterly budget to spend with the team on after-work activities