Senior AI/ML Engineer - IDP & NLP in Finance

Crefc

Knoxville (TN)

On-site

USD 140,000 - 200,000

Full time

5 days ago

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Job summary

CRE Finance Council is seeking a Lead AI/ML Engineer to design and deliver AI-powered Intelligent Document Processing (IDP) solutions for a large financial services environment. The role centers on document classification, information extraction, and understanding using OCR, NLP, CV, and LLMs.

You will lead hands-on development with Python, Java, and AWS services to build scalable, API-driven microservices.

Qualifications

8+ years of software development experience, including 5+ years developing AI/ML solutions.
Strong hands-on experience with Intelligent Document Processing (IDP), including document classification and information extraction.
Experience applying OCR, NLP, Computer Vision, and Large Language Models (LLMs) to document processing and understanding.
Strong development skills in Python and Java.
5+ years of hands-on AWS experience, particularly with Bedrock, SageMaker, Textract, Lambda, ECS/EKS, S3, and RDS.
Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit learn, Hugging Face, and LangChain.
Experience developing REST APIs and microservices using Spring Boot, FastAPI, or comparable frameworks.
Hands on knowledge of MLOps, including model deployment, monitoring, versioning, and CI/CD pipelines.
Strong understanding of scalable software development practices, design patterns, and Agile delivery.
Ability to lead technical discussions and provide technical direction while remaining hands on with development.
Experience mentoring developers and collaborating with business, engineering, and technology stakeholders.
Financial services domain experience preferred, particularly in mortgage, multifamily lending, or commercial real estate (CRE).
AWS AI/ML or AWS Cloud certification preferred.

Responsibilities

Lead AI/ML Engineer to develop and deliver AI powered Intelligent Document Processing (IDP) solutions within a large-scale financial services environment.
Focus on document classification, information extraction, and document understanding using OCR, NLP, Computer Vision, and Large Language Models.
Work hands on with Python, Java, AI/ML frameworks, and AWS services to build scalable solutions and integrate AI capabilities through APIs and microservices.
Support model deployment, monitoring, MLOps, and CI/CD practices.
As a technical lead, guide technical discussions, mentor engineers, and collaborate with business and technology teams to deliver reliable AI/ML solutions.