Data Engineer (AI) | f/m/d

About Us

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.

How you will get the job done

• preparing and analysing data from various sources to develop and optimise (Agentic)AI and machine learning models; design and standardise effective, scalable AI environments, AI blueprints and processes

• designing, implementing and operating software solutions for the use of structured and unstructured data, particularly in the area of (Agentic)AI and machine learning, with the aim of achieving a highly automated ML lifecycle

• developing technical know-how, tools and methods for (Agentic)AI

• supporting operational units in implementing AI models into existing processes and systems to maximise the value of (Agentic)AI

• designing and pilot AI solutions for monitoring and evaluating the outcomes of executed and implemented use cases, in order to measure the effectiveness of AI initiatives

Skills and experience you will need

• fluency in English

• completed degree in computer science, artificial intelligence, data

• sound knowledge of GenAI, machine learning and deep learning, including relevant algorithms and models, as well as RAG

• experience in preparing, cleansing and enriching data for use in AI applications

• very good knowledge of one or more programming languages (preferably Python), particularly with respect to AI frameworks (e.g. PyTorch); knowledge of database programming languages such as SQL for managing and querying data

• experience with tools, frameworks and technologies for training, deploying and monitoring AI models, including MLOps practices

• familiarity with distributed systems and cloud platforms for scaling AI applications (e.g., Azure, Databricks and Kubernetes)

• strong ability to identify and analyse data patterns and to develop models for prediction and decision-making

• ability to think and work in a networked manner, to collaborate with interdisciplinary teams, and to communicate complex technical concepts in an understandable way

• strong service orientation, excellent teamwork skills and a high level of commitment to meeting the needs of business units and advancing the development of AI solutions

• familiarity to work in a team, using git, can create proper pull requests and perform code reviews

Nice to have

• knowledge of German

Perks & Benefits

Let's be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!