ML Engineer

2 tygodni temu


Warszawa, Mazovia, Polska UniCredit Pełny etat

UniCredit S.p.A. is the company that provides solutions in the Information & Communication Technology (ICT), Back Office & Middle Office, Real Estate, Security and Global Sourcing areas in order to respond quickly and effectively both to the requests of the Bank and of the market. UniCredit organizes its activities on a structured model organized in business lines and service lines, based on a concept of end-to-end in order to ensure the best service in terms of quality.

We are looking for a ML engineer/Data Scientist to join our AI factory team. You will be responsible for E2E applications development leveraging AI and generative AI capabilities. Your goal will be to design and implement scalable AI systems built around deep learning and machine learning models as well as large language models.

You will collaborate in a dynamic and innovative context in close collaboration with Architects, Data Scientists and Business Translators.

What will you do:
  • Design and development of innovative and cutting-edge AI solutions
  • Contribute to the scale-up of AI adoption through the creation of libraries and common assets
  • Ensure smooth operations through scalable, robust and resilient design of systems
  • Adopt state of the art technology and cloud-native solutions
  • Define best practices and standards for application design and development
What you need to succeed:

The ideal candidate has:

  • University degree in computer science, physics, mathematics or engineering.
  • 2+ years of practical relevant experience in software design and implementation, ideally related to AI systems
  • In-depth knowledge of Software Engineering best practices, design and architectural patterns.
  • Experience in object-oriented software development in Python, knowledge of APIs design and implementation - additional languages are a plus.
  • Practical knowledge of Kubernetes and Docker.
  • Eager to learn and stay up to date to AI trends, technologies and framework
  • Excellent collaboration skills, with the ability to work effectively in an agile environment.
Nice to have:
  • Practical experience in using ML and/or AI frameworks (e.g. KubeFlow, Langchain, Haystack, ...)
  • Proven experience in application development leveraging cloud infrastructure, including cloud services usage and integration
  • Experience in designing and developing microservices architecture.
  • Proficiency in MLOps frameworks and best practices.
  • Knowledge of DevOps best practices, with proven experience of deployments on Kubernetes.
What we offer:

#MakeInnovationHappen: Chance to make an impact in terms of transformation.

#UnlockYourPotential: Join a young and stimulating environment.

#ComeAsYouAre: Working within a global team.

#UnlockYourPotential: Play a role of autonomy with high visibility and exposure.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance

Industries

IT Services and IT Consulting

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