Start your journey at BSH_Global Graduate Accelerator – Global IT Poland​

Your responsibilities

  • Deploy generative AI models and AI systems;
  • Support Solution Architect in operational tasks concerning AWS infrastructure;
  • Collaborate with ML Ops Engineers in discovering, evaluating and prototyping new tools and frameworks;
  • Routinely contribute to improving technical maturity of the team;
  • Present findings to the team and both tech and business stakeholders.

Our requirements

  • Master degree or comparable and first professional experience in corporate environment;​
  • Intercultural experience e.g. through semester or internship abroad and willingness to work in different locations worldwide;
  • Very good English language skills;
  • Strong analytic thinking skills and a business mindset, to master future challenges by contributing with fresh ideas and willingness to go the extra mile;
  • Proficiency in a single language (Python preferred), GenAI stack (Langchain, Langfuse, etc.);
  • Experience with AWS, Vector Databases; ​
  • Experience with Airflow, Observability tools, Terraform would be an asset;
  • Familiarity with the following AI concepts:Machine Learning models, NLP models, RAG;
  • Knowledge/eagerness to grow in Software Engineering: System design, Coding, Debugging, Version Control, Database Management, Solution Architecture;
  • Experience collaborating daily in a large multinational team.

What we offer

  • Structured 12-month development: Three distinct assignments offer broad business and cultural insights.
  • Clear home-country perspective: After the program, you will continue your career in a long-term role.
  • International exposure with local commitment: Gain global experience while employed on a local contract in your home country.
  • Accelerated development: Targeted learning, challenging projects and close mentorship from senior leaders.
  • Global headquarters experience: A mandatory assignment in Munich builds your international network and business understanding.

Link do oferty: https://skk.erecruiter.pl//Offer.aspx?oid=4775338&cfg=9255574ef59c48428edbeb9f286874c2&fromSkk=1773662193179&ejoId=562998&ejorId=320467&comId=20101347