

AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Reston, VA, on a contract through 1/31/2026, paying $55.00 - $60.49 per hour. Requires 2-3 years in AI/ML, strong Python and SQL skills, and experience with AWS and financial data. Ex-Fannie Mae experience is mandatory.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
480
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ποΈ - Date discovered
July 21, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Corp-to-Corp (C2C)
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA 20190
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π§ - Skills detailed
#AI (Artificial Intelligence) #Tableau #ML (Machine Learning) #Compliance #Databases #Lambda (AWS Lambda) #SageMaker #Data Science #Python #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Redshift #AWS SageMaker #Computer Science #Data Manipulation #Microsoft Power BI #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #BI (Business Intelligence) #Data Pipeline #Programming #Visualization #Data Analysis
Role description
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Ex-Fannie Mae is REQUIRED
Ex-Fannie Mae is REQUIRED
Ex-Fannie Mae is REQUIRED
AI/ML Engineer (Reston only, C2C )
Duration: Through 1/31/2026
Reston VA -onsite hybrid
Senior/Lead Level GenAI/ML developer.
Experience:
8 plus years overall in Software Engineering disciplines, preferably in the contracts and legal domain.
2 to 3 years of experience in AI/ML engineering roles
Strong programming skills in Python, SQL and experience with AWS.
Key Responsibilities:
Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
Document workflows, models, and prompt strategies for internal knowledge sharing and compliance.
Required Qualifications:
2 to 3 years of experience in data analysis or machine learning roles.
Proficiency in Python and SQL for data manipulation and analysis.
Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
Strong understanding of financial data, KPIs, and reporting standards.
Excellent communication and collaboration skills.
Preferred Qualifications:
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Understanding of MLOps practices and model lifecycle management.
Education:
Bachelor's Degree in Computer Science
Note:
Preferred hybrid to Reston - Remote potential for highly skilled candidate
Halting and Shortlisting 7/14 at noon
All resumes must be submitted through Fieldglass
All interviews must be scheduled through Fieldglass
Location: Reston, Virginia
Job Type: Contracting
Job Type: Contract
Pay: $55.00 - $60.49 per hour
Expected hours: 40 per week
Ability to Commute:
Reston, VA 20190 (Required)
Ability to Relocate:
Reston, VA 20190: Relocate before starting work (Required)
Work Location: In person