Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop Machine Learning and (Gen-)AI solutions, translate business requirements into technical strategies, and optimize systems while working closely with interdisciplinary teams.
Job Technologies
Your role in the team
- You are an important part of the (Gen-)AI implementation team and participate in strategic (Gen-)AI projects.
- Design of machine learning and (Gen-)AI solutions based on deep learning, LLMs, RAG, and agent workflows, as well as translating complex technical requirements into actionable technical recommendations.
- Development and deployment of machine learning and (Gen)AI solutions, including model training, fine-tuning, context engineering, and knowledge retrieval, as well as continuous monitoring and optimization.
- Close collaboration with IT and business departments in agile, interdisciplinary teams to effectively implement machine learning and (Gen)AI solutions, as well as taking on project and stakeholder management tasks.
- Contribution to the development and maintenance of a company-wide network to promote a strong AI community, in order to leverage synergies between data-intensive units as well as to create and foster knowledge exchange for the effective application of AI.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed university degree in natural sciences, (applied) mathematics, statistics, computer science, or a related field with solid knowledge of relevant programming and modeling languages - e.g., Python (preferred) and R - as well as in Business Intelligence tools and cloud technologies.
Qualifications
- Willingness to innovate and proactive working style, combined with the ability to think and act in a networked manner, to effectively deploy (Gen-)AI and LLM technologies in a team-oriented and service-oriented environment.
- Preferably industry knowledge of the insurance sector, business-fluent proficiency in German (C1) and English (B2 / C1), along with willingness to travel.
Experience
- Several years of practical experience with statistical modeling, Machine Learning, (Gen-)AI - especially Natural Language Processing, LLM-based solutions, RAG, agent-based workflows - using popular frameworks such as PyTorch / TensorFlow, MLflow, and LangChain.
- Strong analytical skills and experience in processing large structured, semi-structured, and unstructured data sets.
This text has been machine translated. Show original
What we offer
- An exciting opportunity where you can apply your expertise.
- As you contribute to the successful development of ERGO, you can expect certain benefits from us as an employer, such as flexible working hours, development opportunities, fair compensation, and even free hot beverages and water.
- Mobile working is possible up to 50 percent of the monthly working hours and offers you a high degree of flexibility.
- We offer you the support you need to realize your full potential as well as to balance your work and private life effectively.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ERGO Group AG
ERGO is one of the leading insurance groups in Germany and Europe. The group is represented in around 30 countries worldwide and focuses on the regions of Europe and Asia. ERGO offers a comprehensive range of insurance, pension and service products. In its home market of Germany, ERGO is one of the leading providers across all lines of business.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Data Scientist Digital Technologies / AI
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
