AI/ML Engineer

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.