Overview
Skills
Job Details
7-10 years of experience working as python/ML Engineer with strong Python, SQL, and AWS
2. LLM's - RAG, AWS Bedrock, standard AWS services
This is a combination of a data analysts with experience in prompt engineering.
Prompt engineering, writing code, data analysis - write queries
Looking for someone with strong Python, SQL, AWS - ability to understand financial models
Any experience with LLMs - they are using Anthropic and AWS Bedrock
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.
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.
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.