Company Introduction
As one of the world's leading industrial insurers for more than 120 years, HDI Global has mastered challenges through expertise, pioneering spirit, and a sense of community. They offer the opportunity to break new ground and develop together.
Responsibilities
- Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
- Construct and refine (Gen) AI models, prompts, and related analytical components
- Understand how (Gen) AI serves business needs and translate requirements into technically feasible, value-driven solutions
- Guide data integration activities and ensure robust operational deployment of (Gen) AI pipelines
- Ensure data quality, compliance, and risk control across data ingestion, transformation, model development and deployment workflows
- Collaborate on the identification of capacity and skill requirements to support the broader AI roadmap
- Support cross-functional teams in implementing scalable patterns, reusable components, and well-governed AI assets across the organization
- Own data sourcing, transformations, and evaluation metrics for (Gen) AI workflows
- Deliver high-quality agent logic and performance insights to improve (Gen) AI workflows
Requirements
- Masters degree in computer science, data engineering, mathematics or a related field
- 5+ years of experience in data science and / or data engineering roles, including (Gen) AI-related work
- Proficiency with big-data tools (e.g., Spark, Hadoop) and modern data architectures
- Strong experience in ML models with corresponding frameworks (e.g., scikit-learn) and how to test and monitor these
- Experience with (Gen) AI, LLM frameworks (e.g., LangChain) and methods (e.g., Transformers, RLHF, fine-tuning)
- Strong programming skills (especially Python, SQL, and at least one additional language)
- Experienced in using visualization / dashboard frameworks from Python (e.g., Streamlit, Plotly, Bokeh)
- Experience in deploying (Gen) AI pipelines (prompt chains, embeddings, retrieval systems, vector databases) into production environments
- Familiarity with cloud (Gen) AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)
- Experience with analytics or visualization tools (e.g., Power BI, Tableau)
Benefits
- Flexible working hours
- Health management
- Mobile working
- Further training