
Machine Learning Engineer (Intelligent Automation Team)
- Kraków, małopolskie
- Stała
- Pełny etat
- Design and develop intelligent automation solutions that integrate machine learning into RPA and Power platforms.
- Build and optimize backend systems for automation, natural language understanding, and AI-powered workflows.
- Implement and deploy machine learning models within end-to-end automation projects, ensuring scalability and reliability.
- Integrate conversational AI components, such as Copilot and other generative AI tools, to enhance user experience and business value.
- Collaborate with stakeholders and business units globally to gather requirements, deliver solutions, and support ongoing automation initiatives.
- Monitor and evaluate the performance of automation and AI systems, driving continuous improvement and innovation.
- Stay up to date with advancements in AI, RPA, Power Platform, and automation best practices, applying them to our projects.
- Contribute to robust, high-quality code and participate in code reviews with a focus on maintainability and performance.
- Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or a related field.
- 5-6 years of experience delivering production-ready solutions in machine learning, automation, or related fields.
- Strong programming skills in Python and experience with ML frameworks (e.g., HuggingFace, LangChain).
- Practical experience with transformer-based language models (e.g., GPT, BERT) and generative AI tool. ABle to build APIs (FastAPI).
- Solid understanding of backend development, including APIs, microservices, and cloud platforms (e.g., Azure, AWS).
- Proven ability to work collaboratively with diverse, international teams and communicate technical concepts clearly.
- A proactive, growth mindset with a passion for continuous learning and innovation in intelligent automation.
- Experience in designing and implementing automation workflows using RPA tools (e.g., UiPath, Ble Prism and Microsoft Power Platform (Power Automate, Power Apps, Power BI) would be an asset.
- Real life opportunities to develop and grow with us and contribute to the world around us
- Competitive salaries, language allowance and an employee benefits package that includes among others medical insurance, life insurance and sport-card
- Annual bonus depending on company annual results and individual performance
- Wide range of learning programs and personal development opportunities including also possibility to apply for up to 80% of educational trainings reimbursement
- Referral awards
- Online fitness trainings
- Hybrid work
- Nice and friendly atmosphere