Job Title: Senior GenAI / AI-ML Engineer
Location: Reston, VA – No relocation-onsite
Rate: w2
Duration: 6+ months
Interview: Phone/ Skype-2Rounds
LinkedIn must have
Job Description:
Need strong skills in all areas
Top 7 Technical Skills:- Must have strong skills in AWS, GenAI, Python and Sagemaker
Python
Gen AI
SQL
AWS Data Services
LLM
ML
Sagemaker
*** Note.. some places within this client are also using Bedrock
Top 3 Soft Skills:
Confidence in Communication skills for Teamwork and sharing
Stand-alone to get work done, Independent
10 years min experience preferred
Job 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. |
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