Python AI Developer - ZL

Technical Skills

• Python
• Gen AI
• SQL
• AWS Data Services
• LLM
• ML
• Sagemaker
• Bedrock

• Confidence in Communication skills for Teamwork and sharing
• Stand alone to get work done, Independent
• Flexibility

10+ years overall in Software Engineering disciplines, preferably in the financial services industry.

2-3 years of experience in AI engineering roles - ML experience in NTH.

Strong programming skills in Python, SQL and experience with AWS.

Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL.

• 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 Sage Maker 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.

• 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 Sage Maker, 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.

• 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).
• Bachelor's degree in Computer Science, Data Science, Finance, or a related field.