Machine Learning Engineers - all levels
Location: Bavaria, Germany
Employment Type: Permanent
Industry: Insurance
We are seeking talented individuals to fill four exciting roles in our Machine Learning team:
Senior Scientist Machine Learning – Causal ML
Senior Data/ML Engineer
Senior Engineer Machine Learning/Deep Learning, and
Junior Engineer Machine Learning/Deep Learning.
Whether you are a seasoned expert or just starting your career, we have opportunities that match your skills and ambitions.
About the Company
Join a leading company in the insurance industry, leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to transform business processes and deliver value to millions of customers. Our dynamic team of data specialists is at the forefront of innovation, creating scalable, high-impact ML solutions.
Key Responsibilities and Expectations
Across All Roles:
Collaborate with interdisciplinary teams of Data Scientists, Engineers, and domain experts to integrate ML solutions into business processes.
Work in a hybrid environment with required presence in Southern Germany.
Participate in continuous learning and professional growth opportunities.
Role-Specific Expectations:
Senior Scientist Machine Learning – Causal ML:
Design, develop, and optimize Machine Learning models focusing on causal ML and recommender systems.
Stay updated with the latest research in Data Science and AI.
Mentor junior scientists and interns.
Senior Data/ML Engineer:
Coordinate data acquisition to deployment of Data Science models.
Develop, maintain, and improve data pipelines and architecture.
Focus on customer-centric, KPI-driven digital services.
Senior Engineer Machine Learning/Deep Learning:
Design and implement production-ready, scalable ML solutions.
Ensure seamless integration of developed solutions within the IT service landscape.
Provide technical leadership and mentor team members in cloud technologies and software architecture.
Junior Engineer Machine Learning/Deep Learning:
Implement modern ML engineering workflows to address real-world challenges.
Design, deploy, and maintain ML and Deep Learning solutions.
Provide ongoing operational support for developed models
Requirements
Education: Master’s or PhD in Data Science, Machine Learning, Computer Science, Mathematics, Physics, or related fields.
Technical Skills:
Strong Python programming skills.
Experience with modern Machine Learning techniques and tools.
Familiarity with cloud platforms (AWS, Azure, GCP) for senior roles.
Experience:
Junior role: Minimum 2 years.
Senior roles: Minimum 3–5 years depending on the position.
Soft Skills:
Excellent analytical and problem-solving skills.
Strong communication skills with the ability to convey complex technical concepts clearly.
What You Get In Return
Competitive salaries based on experience:
Junior roles: €65,000–€70,000.
Senior roles: €85,000–€105,000.
Hybrid work model with required presence in Southern Germany.
Opportunities for professional growth in a collaborative and innovative environment.
Comprehensive insurance benefits.
How to Apply
If you are passionate about Machine Learning and eager to contribute to a dynamic team, please submit your application, including your CV.


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