Python Gen AI SQL AWS Data Services LLM ML SageMaker
Job Description:
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.
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.
About OpenKyber: Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
Please contact me for all of the details of the client company, environment, and the position. I look forward to speaking with you.
For applications and inquiries, contact: [email protected]
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