Senior Data Scientist / AI Specialist

4w1 month ago

Deloitte

Austin, US · Full-time · $130,000 – $170,000

About this role

This role is within Deloitte's AI & Engineering team in Austin, Texas, focused on transforming technology platforms and driving innovation. You'll work alongside talented professionals reimagining operations critical to businesses, helping clients improve financial performance and fuel growth.

Day-to-day, you will design, build, and deploy production-grade AI/ML systems across NLP, Retrieval-Augmented Generation (RAG), forecasting, and advanced analytics. You will also fine-tune and operationalize large language models and RAG pipelines, establishing end-to-end MLOps on Azure to ensure models are reproducible and secure.

Deloitte's Government & Public Services practice serves federal, state, and local government clients as well as public higher education institutions. The AI & Data offering provides full-spectrum solutions for designing, developing, and operating cutting-edge Data and AI platforms and products.

This is a Project Delivery Talent Model role for professionals with specialized skills that align to client needs. Your contributions can help clients accelerate new digital ventures, fulfill their mission promise, and make a significant impact on public sector challenges.

Requirements

Proven ability to design and deploy production-grade AI/ML systems.
Experience with fine-tuning and operationalizing large language models and RAG pipelines.
Proficiency in establishing and maintaining MLOps on Azure.
Strong SQL and data modeling skills for integrating complex data sources.
Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to lead projects or workstreams and manage multiple tasks in a fast-paced environment.

Responsibilities

Design, build, and deploy production-grade AI/ML systems across NLP, Retrieval-Augmented Generation (RAG), forecasting, and advanced analytics use cases.
Fine-tune and operationalize large language models (LLMs) and RAG pipelines, including embedding strategy, vector store design, retrieval evaluation, and prompt/grounding patterns.
Establish and maintain end-to-end MLOps on Azure (e.g., Azure ML, pipelines, model registry, CI/CD, monitoring, and drift detection), ensuring models are reproducible, secure, observable, and reliably maintained in production.
Develop SQL data models and analytics solutions that integrate and structure data from child welfare and Medicaid program systems.
Partner with cross-functional teams, product owners, agency stakeholders, engineers, and policy/program staff to translate public sector business problems into technical solutions.
Clearly communicate model behavior, limitations, and outcomes to both technical and non-technical audiences.
Ensure models are reproducible, secure, observable, and reliably maintained in production rather than one-off prototypes.

Benefits

Work alongside talented professionals reimagining and reengineering operations that are critical to businesses.
Help clients improve financial performance and accelerate new digital ventures.
Fuel growth through innovation and make a significant impact on clients' success.
Opportunity to contribute to public sector projects with a focus on health and human services.