Data Engineer for Cutting Edge AI Projects in Poland

1 week ago


Warszawa, Mazovia, Czech Republic Raiffeisen Tech Full time

Are you an experienced data engineer passionate about working with cutting-edge AI technologies and large language models? Do you have a strong background in Python and software development best practices? We are seeking a talented individual to join our tech team in Poland.

About the Role

We are looking for a highly skilled data engineer to work on exciting AI projects that will shape the future of the financial industry in Central and Eastern Europe. As a key member of our team, you will be responsible for designing, developing, and implementing robust software solutions using MLOps best practices.

Key Responsibilities
  • Develop and deploy AI-powered applications using Python and Databricks
  • Collaborate with cross-functional teams to identify and prioritize software features
  • Ensure high reliability and performance of software systems
  • Drive continuous improvement in performance, architecture, and design
  • Maintain and update workflows and software packages, incorporating new technologies and methodologies
Requirements
  • Strong background in data engineering and AI technologies
  • Proficiency in Python and software development best practices
  • Experience with Databricks and MLOps
  • Excellent communication and teamwork skills
Benefits
  • Private medical care for you and your loved ones
  • Life assurance
  • Recognition program
  • Reimbursement for costs of eyeglasses
  • Free parking and bike parking
  • Cafeteria benefits
  • Company events and social fund activities
  • Flexible working hours and hybrid cooperation model
  • Opportunity to develop in an international financial institution

We are committed to providing a friendly and supportive work environment that fosters innovation and collaboration. If you are passionate about working with cutting-edge AI technologies and have a strong background in data engineering, we encourage you to apply for this exciting opportunity.


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