Job
- Level
- Experienced
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop machine learning models, analyze and optimize AI data pipelines and reporting solutions, and advise departments on the application of AI technologies, particularly LLMs and RAG.
Job Technologies
Your role in the team
- They develop, implement, and improve machine learning and AI models as well as analytics and reporting solutions.
- They design and optimize modern AI models, data pipelines, and analytical procedures, including in the context of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- They analyze and evaluate the reusability of existing AI models from UV carriers or other authorities for the NOVA cooperation partners.
- You advise and support departments in the use of data and AI solutions and impart the necessary knowledge through training.
- You collaboratively develop best practices, standards, and frameworks for organization-wide unified AI development with colleagues and participate in projects.
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Our expectations of you
Education
- A relevant completed scientific university degree at master's level or a comparable qualification at DQR level 7.
Qualifications
- Excellent programming skills in Python or R.
- Good knowledge of SQL.
- Solid Data Science skills with knowledge in Machine Learning and statistical methods.
- The ability to clearly explain complex technical contexts and convincingly present analysis results.
- Very good spoken and written German skills, at least at C1 level.
- Address complex issues in a structured and conceptual manner.
- Happy to collaborate with different specialist areas and within an expert team.
- Ability to explain technical content appropriately for the target audience.
- Work independently while valuing collaboration within the team.
Experience
- Experience in developing, training, and optimizing AI models, including current techniques such as LLMs or RAG approaches.
- Knowledge of modern AI technologies, especially MLOps experience and RAG approaches.
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What we offer
- A future-proof job in a company that promotes family friendliness.
- An interesting, diverse, and responsible area of work.
- If the required qualification is met, remuneration according to pay grade 13 BG-AT including 13th month salary.
- The social benefits common in the public sector (e.g., flexible working hours; the possibility to work remotely or telecommute; company pension scheme).
- 30 vacation days + 2 days off (December 24th and December 31st) + up to 5 additional vacation days through conversion of parts of the 13th salary.
- Flexible working hours, part-time, or home office (up to 3 days/week): We offer various flexible working arrangements. An individual onboarding process on-site is just as important to us as regular personal contact in the office; therefore, we do not offer exclusively remote work.
- External employee consulting for health, professional, and personal issues - anonymous, confidential, free of charge.
- Private use of the company mobile phone (iPhone).
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Verwaltungs-Berufsgenossenschaft (VBG)
Die Verwaltungs-Berufsgenossenschaft (VBG) ist als gewerbliche Berufsgenossenschaft der größte Träger der gesetzlichen Unfallversicherung in Deutschland.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Banking, Finance, Insurance
Data Scientist / AI Specialist - Machine Learning and Generative AI
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
