Position: GenAI/ML Developer Duration: 6 Months Location: Reston, VA 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: • 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. # LI-CGTS # TS-2505