Lead AI/ML Engineer

Crefc; Knoxville (TN); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

AWS Cloud

Hugging Face Transformers

Java

Microservices

Python

Spring Boot

LangChain

Formation

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

Outils

AWS Bedrock

SageMaker

Textract

Lambda

ECS/EKS

S3

RDS

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LangChain

Spring Boot

REST APIs

FastAPI

Description du poste

Skills:

• Amazon Web Services Cloud
• Hugging Face Transformers
• Java
• Microservices
• Python
• Spring Boot
• LangChain

Position Description:

Lead AI/ML Engineer to develop and deliver AI powered Intelligent Document Processing (IDP) solutions within a large-scale financial services environment. This role will focus on document classification, information extraction, and document understanding using OCR, NLP, Computer Vision, and Large Language Models.

This role is located at a client site in either Birmingham, AL, Knoxville, TN, Columbia, SC or Lafayette, LA.

Your Future Duties and Responsibilities:

Lead AI/ML Engineer to develop and deliver AI powered Intelligent Document Processing (IDP) solutions within a large-scale financial services environment. This role will focus on document classification, information extraction, and document understanding using OCR, NLP, Computer Vision, and Large Language Models.

The Lead AI/ML Engineer will work hands on with Python, Java, AI/ML frameworks, and AWS services to build scalable solutions and integrate AI capabilities through APIs and microservices. The role will also support model deployment, monitoring, MLOps, and CI/CD practices.

As a technical lead, this individual will guide technical discussions, mentor engineers, and collaborate with business and technology teams to deliver reliable AI/ML solutions. Experience with mortgage, multifamily lending, commercial real estate, or broader financial services environments is highly valued.

Required Qualifications to be Successful in this Role:

• 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 services such as Amazon 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

Desired Skillset:

Preferred Certification: AWS AI/ML or AWS Cloud certification.

Education:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent professional experience.