Senior Engineer Machine Learning / AI (w/m/d)

Stellenbeschreibung:

Hello, let’s say “WE”!

In the Data Analytics Team at HUK-COBURG, we transform data into real added value for over 13 million customers. As Germany’s leading auto insurance provider, we are a long-established and stable company that invests strategically in innovation and its data-driven future. Our agile Data Analytics teams use state-of-the-art machine learning and AI methods to optimize processes, calculate fair prices, manage claims digitally and intelligently, and develop new, innovative insurance products.

Become part of our large data community, work alongside many other experienced data specialists to develop practical machine learning applications, and help shape the transformation driven by data, machine learning, and AI at one of Germany’s largest insurers.

Coburg, Bavaria, Germany

Employment Type: Full-time
Weekly Work Hours: 38 hours
Contract Type: Permanent
Start Date: Immediately

Here’s what you can look forward to

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

Your Profile

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

Our Benefits

Employer contributions

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

Cycling Instead of Driving—Subsidies for Your Company Bike