As a Machine Learning Engineer in our Intelligent Automation Team, you will be at the forefront of designing, implementing, and maintaining intelligent automation solutions that power smarter business processes across Zurich globally. You will work with a mix of technologies—including Microsoft Power Platform, Robotic Process Automation (RPA), Python, and generative AI tools such as Copilot—to deliver impactful projects for customers throughout Zurich’s worldwide organization. Your contributions will help us join multiple technologies into seamless automation solutions that drive efficiency, innovation, and better user experience.
responsibilities :
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.
requirements-expected :
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, Blue Prism and Microsoft Power Platform (Power Automate, Power Apps, Power BI) would be an asset.
offered :
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
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
