U.S. General Services Administration
The Role
You will lead strategic AI initiatives and direct complex machine learning projects at a Fortune 500 company in the manufacturing/energy sector. Responsibilities include developing custom NLP and computer vision models, optimizing large language models (LLM) for enterprise verticals, designing MLOps pipelines, and mentorship of senior data scientists.
Key Skills
PyTorch, TensorFlow, Python, AWS SageMaker, Kubernetes, Docker, Salesforce, Splunk, Azure AI. (Total 9 technical skills)
Qualifications
MS in Computer Science/Physics/Applied Math
PhD in AI/ML
AWS ML Specialty Certificate
Experience with NLP/Computer Vision
Experience with LLM fine-tuning
Responsibilities
Design and deploy advanced custom machine learning algorithms. Mentor senior data scientists and lead technical teams. Optimize large language models for enterprise verticals. Build scalable MLOps infrastructures using Python. Deliver AI products that directly impact business KPIs.
Offers Visa Sponsorship: true
Requires Security Clearance: false
Level: Senior (explicitly stated as Director-level and Senior Data Scientist)
Department: Data Science/AI
Salary Range: [130000, 200000]
Type: Full-time
Mode: Hybrid
Headquarters
Washington, District Of Columbia, United States
Company Size
10001+ employees
Founded
1949
The U.S. General Services Administration (GSA) is a federal agency that delivers real estate, acquisition, and technology services to federal agencies and the American public. It manages government-owned and leased buildings, federal procurement programs (including GSA Schedules and GSA Advantage), vehicle and travel programs, and digital/IT services that help agencies buy goods and run operations more efficiently. GSA’s mission is to provide the best customer experience and value through standardized procurement vehicles, workplace solutions, and modern technology platforms that increase efficiency, transparency, and cost savings.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for U.S. General Services Administration.
22% below the average for this role
GSA adds third set of companies to consulting contract review
Jun 27, 2025
Ai Machine Learning Data Science Engineering Leads Chennai Tamil Nadu India
Qualcomm Incorporated
Ai Machine Learning Data Science Sr Engineer Chennai Tamil Nadu India
Qualcomm Incorporated
Hackathon Interns - Jr VisionAI Engineer-1
Centific
AI/ML Architect, Java Architect / Solution Architect
Indium
Data Intelligence Platform Engineer
PMI - Production and Manufacturing Institute | students
AI / Machine Learning Engineer
instantserve