GDS (Group Data Services) leads Swiss Re's ambition to be a truly data-driven risk knowledge company. GDS bring expertise and experience covering all aspects of data and analytics to enable Swiss Re in its vision to make the world more resilient.

The Data Platform Engineering team deals with data & analytics platforms for enabling the creation of innovative solutions to data driven business needs. It also enables Swiss Re Group to efficiently utilize the platforms and ensures their availability and proper functioning.

The Opportunity

Are you excited about the prospect of joining Swiss Re's mission to become a truly data-driven risk company?

We are the GDS Machine Learning Operations team, and we are looking for a highly skilled and motivated Machine Learning Engineer to join us. In this role, you will be instrumental in building, optimizing, and maintaining our machine learning models. You will collaborate closely with our business groups to anticipate emerging client needs, respond to user inquiries, and resolve their issues. Your expertise will be crucial in empowering our users to adopt MLOps and LLMOps best practices, all while ensuring our systems remain both secure and cost-effective.

As our new colleague, you will thrive in an agile environment, collaborating closely with peers, internal experts, and business clients to support, organize, and manage various activities within the team. Your contributions will be key to driving our data-driven initiatives forward and enhancing our risk management capabilities.

What you will work on during your first year at Swiss Re:

Key Responsibilities:

• Model Development and Maintenance: Design, develop, test deploy, retrain machine learning models and algorithms to solve complex business problems in collaboration with data scientists and other engineers.
• Data Processing: Implement big data processing workflows and pipelines to handle large-scale datasets efficiently.
• MLOps & LLMOps: Promote and implement MLOps and LLMOps best practices to streamline model deployment, monitoring, and maintenance.
• Platform Management: Maintain and enhance our data science and machine learning platforms to ensure high performance and reliability.
• Collaboration: Work closely with business stakeholders to understand their needs, provide insights, and deliver tailored ML solutions.
• Security & Cost Management: Ensure that all systems and solutions are secure and cost-effective.

About You

Essentials

The following list represents our ideal candidate's profile. We know it is unlikely you meet 100% of our criteria. The more boxes you can check the better, however ultimately willingness to keep learning is key.

• Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field preferred.
• Experience: 5+ years of proven experience in machine learning model development, deployment, and maintenance. Some experience with large language models is a plus.
• Technical Skills: Proficiency in Python, R, or similar programming languages. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Big Data Technologies: Familiarity with big data processing tools esp. Spark, or similar.
• MLOps & LLMOps: Knowledge of MLOps and LLMOps practices and tools such as Docker, Kubernetes, MLflow, etc.
• Palantir Foundry: Willingness to accustom yourself with Swiss Re's strategic data management platform

• Palantir Foundry. Prior experience with the platform is a plus.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to work with complex datasets.
• Communication: Excellent communication skills to interact effectively with both technical and non-technical stakeholders.
• Ideally you have some prior experience with the (re‑) insurance or financial services industry

Behavioural Competences

We are working as one team operating from three different countries: India, Slovakia and Switzerland. Our company's internal customer base is spread across all continents. Given, that you will interact with users every day, a strong customer-orientation, joy in communicating with users as well as a commitment to quality and timeliness are important!

Furthermore, the entire field of technologies we are working with such as cloud technologies, Generative AI or Natural Language Processing is evolving rapidly. You should have the curiosity to explore modern technologies, and the persistence to make them accessible to a larger community even while they are still evolving. Last, but not least, enjoying our work is just as important as achieving results.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.