Machine Learning Operation Engineer (f/m/x)
Join the Advanced Analytics & AI team at RBI group, where the innovation of a start-up meets the stability of an established financial institution. We are seeking experienced machine learning operations engineer to help us pioneer the future of banking in Central and Eastern Europe.
Your role
- Design and implement machine learning models with a focus on operational deployment and scalability.
- Work within the Databricks platform to create robust data pipelines and machine learning workflows.
- Utilize containerization technologies such as Docker and Kubernetes for model deployment and management.
- Integrate and adapt Large Language Models and Generative AI tools to enhance operational processes.
- Collaborate with cross-functional teams to understand operational needs and deliver data-driven solutions.
- Monitor, analyze, and operate machine learning models in production.
- Stay abreast of industry trends and advancements in machine learning operations (MLOps) and related technologies.
Your core competencies
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
- Minimum of 3 years of experience in machine learning engineering with a focus on operations.
- Proficiency in Python and experience with Databricks.
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to convey complex concepts to non-technical stakeholders.
- Fluent knowledge of English; German is appreciated but not mandatory.
Nice to have
- Certifications in Databricks, Docker, Kubernetes, or related technologies.
- Experience with Docker and Kubernetes for deploying and managing applications in a distributed environment.
- Experience with cloud services and architectures.
- Familiarity with Large Language Models and Generative AI tools and their application in a business context.
- A track record of successful collaboration in a multinational team environment.
What's in it for you
- Work Life Balance: flexible working hours & extensive hybrid working possibilities
- Meaningful Career Options: to develop personally & professionally
- Learning: as part of our DNA & culture
- Easy Moving: work permit support
- Easy Commuting: free public transport pass
- Canteen: healthy, tasty, and heavily subsidized
- Leisure Time Activities: attractive sports and cultural offers (free museum tickets, reduced gym membership, etc.)
- Saving: various vouchers and discounts are being offered
- Family Friendly: gender-neutral parental leave etc.
- Salary: starting at EUR 60,000- gross p.a. including overtime (market-compliant overpayment is provided dep. on experience / qualification)
For questions regarding our application process, please feel free to take a look on our website or check out our FAQ.
Your contact: Martin Trnka |
Your benefits at one sight:
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