AI/ML engineering
AI/ML engineering
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Salary Not Disclosed
1 Vacancy
Job Description
Developer IV :::::::: Position will be located Reston V
Onsite Interview required
Halting and SLing 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 Bachelors 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
Employment Type
Full-time
