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

Hello, let's tell WIR! We - the HUK-COBURG Insurance Group - are among the 10 largest in Germany. Founded over 90 years ago, we are now the largest private household insurer and the largest German car insurer. The fact that we are often cheaper than other insurance companies has a tradition with us. Just like our reputation as an employer with which you can grow and achieve your personal goals. With us you can make an exciting career. With a lot of team spirit and feeling. We also offer you a whole range of attractive Benefits that will help you develop professionally – and discover new opportunities again and again. 770 job profiles and 35 departments – together: countless professional opportunities. Full chances, but also challenges. And always very dynamic. Not only in Coburg, but throughout Germany. In the Data Analytics Team of HUK-COBURG we transform data into real added value for over 13 million. Inside. As Germany's leading automotive insurance company, we are a long-standing and stable company that is investing 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, control damage digitally and intelligently and to develop new, innovative insurance products. Become part of our large data community, develop together with many other experienced data specialists:in practice-oriented machine learning applications and thus shape the change driven by data, machine learning and AI in one of the largest insurers in Germany. Senior Engineer Machine Learning / AI (w/m/d) Coburg, Bavaria, Germany Employment Full-time Weekly work time 38 hours Duration type Unlimited Start of occupation now

Conception and implementation of cloud-based AI solutions (Machine Learning, Generative AI, Agent Systems) for core processes such as damage, pricing and customer service Productive provision of scalable ML and GenAI workloads in close cooperation with our MLOps Colleg:in Selection and introduction of modern architectures and tools for ML workflows as well as active participation of the Data Science and AI tool stack Design and Implementation of Standards and Best Practices for Machine Learning Engineers (w/m/d) and Data Scientists (w/m/d) Mentoring, reviews and coaching in particular on cloud topics as well as end-to-end data management to operation Cooperation in an interdisciplinary team from Data Scientists (w/m/d), Machine Learning Engineers (w/m/d) and IT Expert:innen

Completed studies (at least Master, ideally PhD) in Data Science, Machine Learning, Mathematics, Physics, Computer Science or a related subject Multiannual practical experience as a machine learning/AI engineer, ideally in a senior role with project responsibility Finded theoretical and practical knowledge in machine learning engineering, for example: Container (Docker), Kubernetes, IaC, CI/CD, MLflow, Airflow, AWS (S3, Step Functions, Lambda, SageMaker, Bedrock, ...) Good communication skills and the ability to clearly convey complex technical concepts Self-employed, targeted working with high self-responsibility and willingness to take over Ownership for projects and results Hybrid working model: readiness for presence in Coburg

Employer grants: Your benefit to salary – 13.3 monthly salaries, performance-oriented remuneration, mobility grants, asset-effective benefits Further development: Achieve your goals – training measures, self-training grants, own training center Flexibility: Good work and a good life go hand in hand - possibility to work up to half the monthly working hours from home or on the go Work-Life-Balance: Work then when it is best for you – flexible working time models in sliding time, 31.5 days holiday days, Christmas and New Year's Eve free Occupation & Family: To make you feel comfortable with us, we create the right framework conditions - support in child care and holiday care as well as family care and part-time leadership positions Health & well-being: If you're okay, we're good – offerings to exercise, nutrition and mental health, grant membership in gyms and prevention courses Pension provision: Today think of tomorrow – occupational pension provision Co-worker advice: Sometimes it's just good to let someone think of from the outside - co-worker advice to support in all stages of life Service bike: Cycling instead of rolling - subsidy of your service bike