understandable for people in Switzerland? As a specialist in data science, machine learning, and cloud-native data engineering, would you like to design and operate high-performance, robust systems and pipelines that enable our intelligent lead engine and GenAI applications?

As a Senior Data Scientist & ML Engineer in a motivated team, you will work on our data architecture. Your mission is a technological highlight: You will design, implement, and maintain the pension portal and private pension system architecture of our new Lead Engine from the ground up (greenfield approach). This involves developing data pipelines and MLOps workflows on the Google Cloud Platform (GCP). You will integrate complex data streams, optimize relational core databases for personalized portal content, and ensure maintainability and availability in production through automated tests and CI/CD pipelines. Furthermore, you will drive the technical implementation of modern AI agent systems with the team and be responsible for the long-term maintenance and monitoring of these AI services.

AXA is the number one pension partner in Switzerland. With our diverse and advanced products in the areas of health, private and occupational pensions, we create freedom and security for our customers so they can live their lives without worry. 

This is what you can expect

• System Architecture & MLOps (Greenfield , GCP ): You will design and implement the data architecture of our new lead engine from the ground up. You will ensure that next-best-action models are deployed as API services (Cloud Run/Cloud Functions ) and will be responsible for the long-term maintenance of these systems in live operation.
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• Real-time data integration & core database optimization: You will develop the technical foundations for personalized, real-time content on our pension portal. This involves optimizing and extending data pipelines and data structures on our core database ( MongoDB ) and supporting the implementation of the calculation logic on GCP.
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• Maintainable data pipelines & Infrastructure as Code: You develop and manage robust batch and streaming pipelines. You consistently rely on Infrastructure as Code (Terraform, Dataform ) and establish automated CI/CD processes to ensure easy maintenance, transparency, and minimal technical debt for the platform.
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• Data Observability , Testing & Automated QA: You write clean, test-driven Python code and build comprehensive automated test suites for data streams and machine learning models. You also establish monitoring and alerting infrastructures for proactive error detection and performance measurement during operation.
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• Development of modern AI systems : You will support the team in developing the backend logic for AI agent systems . You will provide high-performance, secure API interfaces and be responsible for the ongoing technical operation and optimization of these services.
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This is what you bring with you

• Solid technical training & professional experience : You have a completed degree in computer science, data engineering, data science or a comparable quantitative discipline and have at least 3 years of practical professional experience in data engineering. 
• Design drive & innovative strength: You have a strong design drive and proactively advance the further development of our technical infrastructure , making it future - proof through innovative solutions. 
• Python & Advanced SQL: You have in-depth knowledge of Python and advanced SQL expertise (performance tuning, schema management). You optimize queries for relational and analytical databases securely and independently – especially on Google Cloud Platform .
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• CI/CD, Containerization & Infrastructure as Code:  
• You have practical experience in building and maintaining automated CI/CD pipelines, are proficient in containerization and consistently rely on Infrastructure as Code . 
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• Testing , Monitoring & Observability : You have practical experience with testing frameworks for the automated safeguarding of data pipelines and ML systems, as well as in the setup of proactive monitoring, logging and alerting .
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• Strong hands-on mentality: You are not only conceptually strong, but also actively involved . You delve deeply into data structures to independently analyze, evaluate, and validate technical problems or business issues end-to - end .  

We offer you this

We are convinced that satisfied employees deliver the best performance. That's why we invest in benefits that offer tangible advantages – beyond the usual. 

Flexibility and freedom: Smart Working (flexible work model), annual working hours, 5 weeks of vacation (6 weeks from age 50), vacation bonus of 2 weeks every 5 years, purchase of up to 10 additional days/per year

• Work and family: Family-friendly meeting times, 22 weeks of maternity leav