AI Engineer

Number of openings: 2 openings.
Job description: Build Machine Learning frameworks & AI Solutions using computational
software for clients. Design & implement advanced AI features leveraging large language
models (LLMs), neural networks, retrieval-augmented generation (RAG). Collaborate
w/Business teams on the Product Enhancements for Operational, Architectural changes, System
Enhancements of Infrastructure. Optimize LLMs for performance & accuracy in various apps
like text generation, summarization, question-answering systems. Utilize frameworks such as
TensorFlow, scikitlearn, PyTorch, Keras to develop & deploy machine learning models. Attend
workshops, conferences, training sessions to continuously enhance skills and knowledge.
Participate in code reviews, knowledge-sharing sessions, collaborative problem-solving. Deploy
AI models & features into production environments, ensuring scalability & reliability. Design,
build, maintain scalable data pipelines for credit risk ingestion, transformation, storage using
tools like Snowflake, Azure Data Factory, and AWS Glue. Create and optimize data warehouses
and marts for financial and risk analytics. Implement and enforce data governance protocols to
ensure regulatory compliance (e.g., Basel III, SOX). Design and deploy scalable, reliable AI and
data pipeline solutions.
EDUCATION/EXPERIENCE REQUIREMENT: Bachelor s degree or its foreign equivalent
in CS, IT, CIS, Engg (any), or related field + 72 months of experience as IT/AI/Software or
related occupation.
SKILLS REQUIREMENTS: TensorFlow, PyTorch, Keras, scikit-learn, Snowflake, Azure
Data Factory, AWS Glue, LLMs, neural networks, retrieval-augmented
generation (RAG), data governance protocols, regulatory compliance (e.g.,
Basel III, SOX).

TRAVEL REQUIREMENTS: Will work in unanticipated locations throughout the US. Travel
may be required to client sites for up to 10 days over a period of 6 months.