Senior Engineer Machine Learning / AI
Role details
Job location
Tech stack
Job description
- Design and implementation of cloud-based AI solutions (machine learning, generative AI, agent systems) for core processes such as claims, pricing, and customer service
- Productive deployment of scalable ML and GenAI workloads in close collaboration with our MLOps colleagues
- Selection and implementation of modern architectures and tools for ML workflows, as well as active participation in shaping the data science and AI toolstack
- Design and implementation of standards and best practices for Machine Learning Engineers (w/m/d) and Data Scientists (w/m/d)
- Providing mentoring, reviews, and coaching-particularly on cloud-related topics-as well as end-to-end responsibility from data to operations
- Collaboration within an interdisciplinary team of data scientists (w/m/d), machine learning engineers (w/m/d), and domain and IT experts
Requirements
- A completed degree (at least a master's, ideally a Ph.D.) in Data Science, Machine Learning, Mathematics, Physics, Computer Science, or a related field
- Several years of practical experience as a Machine Learning/AI Engineer, ideally in a senior role with project responsibility
- In-depth theoretical and practical knowledge in the field of machine learning engineering, such as: containers (Docker), Kubernetes, IaC, CI/CD, MLflow, Airflow, AWS (S3, Step Functions, Lambda, SageMaker, Bedrock, …)
- Strong communication skills and the ability to clearly convey complex technical concepts
- Independent, goal-oriented work style with a high degree of personal responsibility and a willingness to take ownership of projects and results
- Hybrid work model: Willingness to work on-site in Coburg
Benefits & conditions
Your salary bonus - 13.3 months' salary, performance-based compensation, mobility allowances, capital-forming benefits
Professional development
Achieve your goals - professional development programs, subsidies for self-directed learning, in-house training center
Flexibility
Good work and a good life go hand in hand - the option to work from home or on the go for up to half of your monthly working hours
Work-Life Balance
Work when it suits you best - flexible working time models with flex time, 31.5 days of vacation, Christmas and New Year's Eve off
Career & Family
To ensure you feel at home with us, we create the right conditions-support for childcare and vacation care, as well as caregiving for family members, and part-time leadership positions
Health & Well-being
When you're doing well, we're doing well-programs for exercise, nutrition, and mental health, as well as subsidies for gym memberships and preventive health courses
Employee Counseling
Sometimes it's just good to get an outside perspective-employee counseling to support you through every stage of life
Retirement Planning
Think about tomorrow today-company retirement plan
Company Bike
About the company
Mehr als 12 Mio. Kunden vertrauen der HUK-COBURG. Als großer deutscher Versicherer mit der Zentrale im oberfränkischen Coburg stehen wir für die bedarfsgerechte Absicherung privater Haushalte. Verursacht das Auto der Zukunft weniger Unfälle? Wie sieht die Altersvorsorge aus, wenn alle 100 Jahre werden? Unsere mehr als 10.000 Mitarbeiter beschäftigen sich schon heute mit den Fragen von morgen.
Das bedeutet für uns Arbeiten an der Zukunft und dafür suchen wir die besten Mitarbeiter.