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We are looking for a Data/ML Engineer with a strong background in Databricks or Palantir Foundry to join our Predictive AI solutions team. You will be responsible for E2E applications development and maintenance leveraging Machine Learning and Big Data transformations. The ideal candidate will play a pivotal role in designing, developing, and maintaining scalable data pipelines and systems, leveraging cutting‑edge Big Data technologies to optimize workflows and enhance efficiency.
You will collaborate in a dynamic and innovative context in close collaboration with Data Scientists and Data Analysts.
What you can expect from us
* Design and develop predictive AI solutions by applying advanced ML and big data techniques.
* Define data architectures and pipelines to support scalable AI solutions.
* Train, evaluate, and optimize Machine Learning models for real‑world applications.
* Develop and maintain centralized AI assets, including feature stores and shared libraries.
* Integrate and manage ML solutions within our MLOps framework for seamless deployment.
* Squad service model adoption following Spotify schema
* Adopt an operative framework with regulatory requirements fully embedded, fully awareness of regulation updates
* Collaborate with multiple teams across the bank and countries (Data Platforms, Digital factories, Risk, Finance, Compliance functions, Cross countries CRM) in ideation, development and deployment phase
* Smart young team fully engaged in revolution the bank!
What we expect from you
* University degree in Computer Science, Engineering, Mathematics, or Statistics.
* 4+ years of relevant experience in Data Science, AI, or ML Engineering, Big Data engineering.
* Advanced proficiency in Python and Pyspark
* Strong knowledge of ML and deep learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
* Proven experience with Databricks or Palantir Foundry
* Familiarity with GCP services
* Expertise in MLOps frameworks (e.g. MLFlow).
* Strong analytical and problem‑solving skills.
* Excellent collaboration skills, with the ability to work effectively in an agile environment.
* Optimize and troubleshoot Big Data workflows to ensure seamless operation
* Implement best practices for data security, governance, scalability and cost optimization.
A curiosity‑driven mindset with a passion for analyzing and transforming banking processes through AI. Excellent communication skills, especially with non technical stakeholders.
Our offer to you
#MakeInnovationHappen: Work on cutting‑edge AI solutions shaping the future of banking.
#UnlockYourPotential: Join a dynamic and stimulating environment with opportunities for growth.
#ComeAsYouAre: Be part of an inclusive, diverse, and global team.
#BalanceLifeAndCareer: Enjoy flexible working hours and a hybrid work model.
#EnjoyTheBest: Access our benefits platform with a dedicated budget to tailor perks to your needs.
About UniCredit Group
UniCredit is a pan‑European Commercial Bank with a unique service offering in Italy, Germany, Central and Eastern Europe. Our purpose is to empower communities to progress, delivering the best‑in‑class for all stakeholders, unlocking a better tomorrow for our clients and our people across Europe. We serve over 15 million customers worldwide. They are at the heart of what we do in all our markets. Digitalisation and our commitment to ESG principles are key enablers for our service. They help us deliver excellence to our stakeholders and creating a sustainable future for our clients, our communities and our people.
We are an equal opportunity employer. We stand together in nurturing a workplace that welcomes diverse thinking and inclusive behaviors.
Making all voices heard and leveraging "diversity of thought" regardless of gender identity, age, race, ethnicity, sexual orientation, ability, cultural background, we ensure sustainable growth and new business opportunities, a strong drive for innovation and creativity, as well as a general improvement of the work climate with positive impact on productivity, well‑being and engagement of our people.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
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