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# Senior Data Science Specialist

- **Company:** HCL Technologies
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Data Architecture, Identity and Access Management, Network Security, Machine Learning, Performance Tuning, OpenAI, Search Technologies, Feature Store, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Build Management, Data Management, Machine Learning Operations, Cisco, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-science-specialist-tampa-fl--828d0deb-83d7-4480-86ec-60e7773aaee0

## About the Role

Data Science, Data Science, Microsoft Windows Azure, Data Management, GCP (Good Clinical Practices), Artificial Intelligence (AI), Systems Administration/Management, Network Security, Cisco Unity, Cost Control

## Description

* Design and implement Databricks architecture on Azure and/or GCP (workspace, clusters, networking, security).
 * Lead platform setup, governance, and optimization (Unity Catalog, cost control, access management).
 * Build and deploy AI/ML solutions using Databricks (MLflow, Feature Store, Model Serving).
 * Develop GenAI / LLM solutions (RAG pipelines, embeddings, vector search).
 * Integrate LLMs (Azure OpenAI / Vertex AI / other APIs) within Databricks.
 * Deliver scalable Lakehouse architecture solutions.
 * Collaborate with engineering and business teams for end-to-end AI use cases.
 * Ensure performance tuning, reliability, and security of workloads

Skill Requirements

 * Design and implement Databricks architecture on Azure and/or GCP (workspace, clusters, networking, security).
 * Lead platform setup, governance, and optimization (Unity Catalog, cost control, access management).
 * Build and deploy AI/ML solutions using Databricks (MLflow, Feature Store, Model Serving).
 * Develop GenAI / LLM solutions (RAG pipelines, embeddings, vector search).
 * Integrate LLMs (Azure OpenAI / Vertex AI / other APIs) within Databricks.
 * Deliver scalable Lakehouse architecture solutions.
 * Collaborate with engineering and business teams for end-to-end AI use cases.
 * Ensure performance tuning, reliability, and security of workloads