What you'll do
As a Machine Learning Engineer, you will be part of our international and agile IT Team. Together with your colleagues you will combine technical expertise with regulatory know-how to build innovative and cutting-edge AI / ML solutions for internal and external users.
- You will select, train and tweak AI Models with different datasets in an MLOps approach
- You contribute to new architectural approaches for AI Models to accomplish tasks in the fields of NLP (LLMs), classification and regression
- You will scrap, map, and implement data automation pipelines for preprocessing
- You will work in a team, dedicated to build AI/ML based solutions in our product landscape or introduce new products
- You will work in a multicultural, international team in an agile environment
Why we should decide on you
- Successfully completed university studies in the field of machine learning, computer science, mathematics or a similar area
- At least 3 years of experience in the fields of full machine learning / AI development (in Python or R) and MLOps principles
- You have worked with at least one of the following relational databases: PostgreSQL, Microsoft SQL Server, MySQL or Oracle
- You have worked with any backend service written in Java, Python or R and exposed WebServices
- You set a focus on quality and clean code
- You have a hands-on mentality, a proactive and communicative personality, are open to innovation, are eager to continually learn and you use feedback as a basis for optimization
- You have a trusting & responsible mindset and enjoy working internationally in a constantly growing and agile team
The following skills will be considered as an advantage:
- Experiences in modern web technologies, e.g., Angular and TypeScript, RAG
- DevOps principles for Containers, Helm and K8s
- Hands-On experience in GCP, Azure or AWS for MLOps
Why you should decide on us
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Market Leadership: Join a global leader where our agile culture and innovative spirit allow you to shape the future of financial stability.
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International Scope: Take ownership of high-profile international projects and benefit from our global internal mobility initiatives.
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Growth & Mentorship: Access a wide range of our technical and functional training opportunities.
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Culture of Inclusion: We foster a supportive, transparent atmosphere with frequent team events and a commitment to diversity.
To get a first impression, we only need your CV and look forward to meeting you in a (personal/virtual) interview! Recognizing the benefits of working in diverse teams, we are committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, and sexual identity. Are you interested? Apply now!
https://www.regnology.net IT_2026_02
