Senior AI Data Scientist / Data Engineer
HDI GROUP, INC.
United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Data Analysis
Automated Storage and Retrieval Systems
Microsoft Azure
Cloud Computing
Computer Programming
Information Engineering
Data Integration
Data Visualization
Python (Programming Language)
Machine Learning
+13 more
Power BI
SQL Databases
Tableau (Software)
Data Ingestion
Delivery Pipeline
AI Platforms
Scikit Learn
Information Technology
Plotly
Machine Learning Operations
Streamlit Framework
GPT
Automation Anywhere
Job description
- 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
- Master’s 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 data engineering / data tools and modern data architetures helpful
- Strong experience in ML Models with corresponding frameworks (e.g. sklearn, ..) 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 univers (e.g. streamlit, plotly, bookeh)
- Experience 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 & conditions
Flexible working hours
Flexitime arrangements and flexible working time models allow for a perfect work-life balance - however it suits you.
Health management
Stay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.
Mobile working
Whether from home or on the road - our remote working model (up to 60 % mobile) offers you more freedom and independence.
Further training
We satisfy your thirst for knowledge - for example with further training, subject-specific seminars or work and study programmes.
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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