AI Engineer (80%-100%)

About the role & team  

We are the largest data science team of Swiss Re and are looking for an enthusiastic Senior AI Engineer who is passionate about applying cutting-edge AI techniques to real-world challenges. We create global AI-driven products made in Bratislava. While we value a strong foundation in machine learning, we also emphasize robust engineering practices, scalable infrastructure, and deploying AI solutions into production. 

If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will: 

• Design and deploy AI solutions to extract insights from complex legal documents using Generative AI,
• Build and operationalize machine learning models to estimate life expectancy,
• Develop AI tools to assess climate risks,
• Contribute to a wide range of projects in close collaboration with Swiss Re's global network of offices. 

We are a highly skilled and diverse team in Bratislava that solves analytics projects around the globe. Our passion to learn is what connects us. We love to learn new skills and will support you to do the same! We reserve time for studying and organize our own upskilling sessions as well. 

By joining us, you will have the opportunity to develop your skills in the technologies that power modern data science products - especially in cloud computing and distributed systems - while applying machine learning to solve complex, real-world problems. This role offers a unique chance to learn, grow, and contribute within a collaborative, high-impact environment.

 

About You  

Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below, we will be happy to meet you. 

In order to be successful in the role, you need to have these technical skills and knowledge:  

• Degree in Computer Science, Applied Mathematics, Software Engineering, or a related quantitative field 
• Proficiency in Python (or similar languages) and familiarity with modern AI/ML frameworks 
• Solid understanding of machine learning, deep learning, and MLOps practices 

If you also have the following experience and interests, it is a huge plus:  

• Experience deploying AI systems in production environments, including model monitoring and maintenance 
• Experience working with large-scale data pipelines and distributed computing 
• Experience in Generative AI and/or Natural Language Processing 
• Interest in AI ethics, explainability, and secure model deployment 

If you don't have some of those but are eager to learn them, get in contact with us. 

Thank you for taking the time to read our job advertisement. We look forward to getting to know you! 

For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] per month (for a full-time role). The specific salary offered considers:​

• the requirements, scope, complexity and responsibilities of the role, ​
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.​

#LI-Hybrid

 

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. 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.

 

 

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Reference Code: 133933