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Machine Learning Engineer

Swiss Re

Information about the position

  • Place of work: Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
  • Basic wage component (gross) and other rewards: From 2 500 EUR/monthOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group
  • Contract type: full-time

Job description, responsibilities and duties

Located within Swiss Re's Group Data Services (GDS) department the Predictive Analytics Solutions team consists equally of data scientists and software engineers. We have several years' worth of experience building and hosting machine learning models, predictive analytics and big data solutions in a production environment end to end. Typically, what we build we also maintain. Currently, we are interested particularly in the adoption of standards and methodologies around MLOps and Responsible AI, for example data and model drift monitoring, model explainability or synthetic dataset generation.

In the first 12 months of joining, you will be able to:

- Implement new analytics solutions by building data ingestion and transformation pipelines, ML model training pipelines, and dashboard solutions
- Become responsible for keeping existing solutions up and running smoothly. End-to-end.
- Help us to stay compliant with our company-wide governance processes and security requirements
- Participate in agile ceremonies such as defining team-internal OKRs, or project-specific - - Scrum events like sprint planning, backlog refinement, review and retrospective sessions.
- Assess new and promising technologies related to advanced analytics with regards to their business potential and technical maturity, particularly in the area of Responsible AI and MLOps.
- Communicate your findings to others within Swiss Re, thus contributing to the company-wide adoption of new technologies and knowledge.
- As your experience grows, you will take the lead in small analytics projects of up to roughly 4 members for SR internal clients. Together with the client you will plan milestones and deliverables, communicate regular updates to project sponsors and celebrate successes with the project team itself.

Does that sound exciting?

Employee perks, benefits

You can look forward to extra rewards and benefits, such as:

- Attractive annual bonus
- Additional days of vacations
- Company stock options
- Space for professional growth incl. e.g. leadership and language trainings
- Flexible working hours - you own the way you work - and home office
- Fully paid lunch allowance
- Sick leave compensation
- Employee pension contribution
- Medical service contribution
- and many more!

Information about the selection process

This job offer is suitable for people who have been impacted by the invasion of Ukraine.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)
University education (Master's degree)

Personality requirements and skills

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

- Minimum of 1-2 years of experience on similiar position required
- Very strong Python (e.g. scikit-learn, unittest) skills / intermediary Java and basic R skills
- Intermediary SQL skills
- Good knowledge of software engineering principles (e.g. IT security, JSON & REST APIs, OOP/OOD, FP, JDBC, entity-relationship-models, etc.)
- Willingness to learn Apache Spark (e.g. Spark SQL, PySpark and Spark ML) and Palantir Foundry
- Experience with Microsoft Azure/AWS/Alibaba cloud or similar cloud providers
- Intermediary applied knowledge of machine learning, statistical analysis and predictive modelling
- Basic knowledge of Docker
- Basic DevOps skills

What we expect from you

- Bachelor, Master's or PhD degree in computer science, data science or equivalent
- Advanced understanding of the entire data science development lifecycle: idea inception, feature engineering, model training, packaging, deploying and hosting a model
- Understand a complex enterprise software landscape: big data and analytics platforms, MLOps


Brief description of the company

As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.

Number of employees

1000 and more employees