AI/ML Developer

• 8 plus years overall in Software Engineering disciplines, preferably in the financial services industry
• 2 to 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 to 3 years of experience in data analysis or machine learning roles.
• Proficiency in Python and SQL for data manipulation and analysis.
• Handson 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