Job description

Raiffeisen Tech is a platform that brings together IT talents from different countries. It consists of a Tech Hub in Poland and a Tech Hub in Romania and Kosovo (to be built soon).

Our task is to create and develop banking applications that make life easier for more than 16 million customers of our group banks in 14 countries!

Raiffeisen Tech Polska is part of Raiffeisen Bank International AG (Spółka Akcyjna), Branch in Poland. However, we have been on the market for five years. You may have known us as MIT GDC.

TODAY at Raiffeisen Tech we are creating the financial industry of the FUTURE.

Home (raiffeisen-tech.com)


Make technology Happen!


GenAI Data Engineer (f/m/d)


About the job


Do you want to combine the enthusiasm and flexibility of a start-up with the solid background of an established bank? Are you passionate to apply creative approaches and techniques with data, which plays the most important role in a modern bank? Are you ready to shape the future of the financial industry within Central and Eastern Europe? Then you are the right person for our team!


Are you a Data Engineer with ML Experience? We’re on the lookout for a GenAI Data Engineer to join our cutting-edge tech team in Poland.



The core facts

  • 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.

Preferred Skills:

  • 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.



Your Profit

Financial:

  • Private Medical Care for you and your loved ones
  • Life Assurance
  • Recognition Program
  • Reimbursement for costs of eyeglasses (every 2 years)
  • Free parking (for cars/ bikes)
  • Paid Recommendation Program

Lifestyle:

  • Cafeteria MyBenefit – sport card or vouchers/cinema tickets etc.
  • Company events
  • Inspiratorium - meetings with inspiring people
  • Social fund (sport sections, guided walks in Warsaw, massages in the office, trips, and much more)
  • Flexible working hours
  • Agile way of work
  • Wellbeing platform
  • Hybrid cooperation you can work form our Warsaw office or more remotely (first day from our office in Warsaw, some trips to Austria, onboarding from Austria)
  • Workation
  • Sabbatical

Development:

  • Access to e-learning courses
  • Language learning
  • Training budget
  • Udemy
  • Opportunity to develop in an international financial institution in an international project


If you are interested in the role, please apply here: ogłoszenia

https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=36b786ed6efe4d628e01ca2ab646cbb4

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.