Description

You will develop and deploy AI/ML solutions focused on financial data analysis and generation.

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.
• Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.

Required Skills

• 8+ years of overall experience in Software Engineering disciplines.
• 2-3 years of specific experience in AI/ML engineering roles.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with AWS services, including 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.
• Bachelor’s degree in Computer Science, Data Science, Finance, or related field.

Preferred Skills

• Experience in the finance or fintech industry.
• Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval augmented generation (RAG).

Key Skills

Education

Any Graduate