Job Title: SR. DATA ENGINEER (AI/ML)
Location: RestonVA
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2
Description:
- 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.
Educations:
- B Bachelors degree in Computer Science Data Science Finance or a related field.