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# Senior AI Data Scientist / Data Engineer

- **Company:** HDI GROUP, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelc95tgit

## About the Role

* 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)

## 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


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