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AI/ML engineering

Company:
Meta Force Technology Staffing LLC
Location:
Reston, VA, 20190
Posted:
April 25, 2026
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Description:

Job Description

Developer IV Position will be located Reston, V

Onsite Interview required

Halting and SL'ing will take place Tuesday the 22nd at 10am EST

Description:

Experience:

• 8+ years overall in Software Engineering disciplines, preferably in the financial services industry

• 2-3 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:

• 2-3 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:

• Experience in the finance or fintech industry.

• 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

• B Bachelor's degree in Computer Science, Data Science, Finance, or a related field.

Enable Skills-Based Hiring

No

Do the resources need to be convertible talent?

(No Value)

Recruiting Strategy Type

Competitive Source

Is this position open to subcontractors?

Yes

Permanent

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