Expanding the product portfolio of our corporate client AI teams including traditional machine learning, deep learning and reinforcement learning models as well as generative AI and agentic AI use cases
Conducting deployments, including monitoring and optimizing models
Validating model results
Data preprocessing, feature engineering, and analyses to identify patterns and trends
Close coordination and collaboration with stakeholders to specify requirements and evaluate Data Science use cases
Creating and maintaining technical documentation, and adhering to AI governance guidelines
Onboarding and mentoring juniors, as well as knowledge sharing within GS-DATA
Our requirements
University degree in Data Science, Computer Science, Mathematics, Physics or a comparable field
Excellent programming skills in Python (Pandas) and SQL
Ideally, experience with Google Cloud Platform (specifically BigQuery, Cloud Composer, Gemini Enterprise Agent Platform, Terraform)
Solid knowledge and experience with Machine Learning and Generative AI use cases
Ideally, experience with generative AI / agentic AI frameworks like langchain or Googles agent development kit
Team player with the ability to work in cross-location and international teams
Strong communication skills in English, German and Polish