Lead, Applied AI/ML for Document Intelligence

Aumni; Tampa (FL); On-site; USD 180,000 - 280,000; Full time

Job summary

Next Frontier Capital is seeking an Applied AI/ML Lead to design, develop, and deploy AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents. You will architect CV pipelines, leverage CRNNs, and integrate OCR with multimodal document understanding.

You will lead model development, optimize pipelines on AWS SageMaker, and explore Bedrock capabilities to augment traditional extraction.

Qualifications

• Bachelor’s degree or MS or PhD in a quantitative discipline (e.g., CS, Math, OR, Data Science).
• 7+ years in applied ML/AI with 2+ years leading teams or large-scale ML initiatives.
• Proficiency in Python and enterprise languages with PyTorch, TensorFlow, Hugging Face Transformers, OpenCV and Pillow for model development and image processing; Java/Groovy for backend integration; Oracle for data retrieval.
• Deep expertise in CV and NLP models with hands-on CRNNs for image classification and feature extraction; multimodal understanding.
• Experience with OCR tech and image preprocessing for TIFFs; OCR accuracy optimization and post-processing.
• Hands-on AWS SageMaker and Amazon Bedrock end-to-end ML workflows; model deployment on EKS with Docker; GPU optimization.
• Strong MLOps knowledge: MLflow, SageMaker Pipelines; ability to manage experiments and lifecycle.

Responsibilities

• Lead the design, development, and deployment of AI/ML solutions for image classification, text categorization, and data extraction from scanned TIFs.
• Develop models for document understanding, text categorization, and NLP tasks; integrate OCR-extracted text with layout information.
• Integrate OCR and generative AI into the document processing pipeline using Bedrock for document understanding and classification.
• Architect scalable ML training and inference pipelines on AWS SageMaker; deploy microservices on AWS EKS with low latency inference.
• Establish MLOps practices, including model versioning, retraining triggers, drift detection, and dashboards.
• Build and lead a team of ML engineers and applied scientists to drive experimentation and KPI-aligned evaluation.

Skills

Python

PyTorch

TensorFlow

Hugging Face Transformers

OpenCV

Pillow

Java

Groovy

Oracle databases

CRNN architectures

multimodal document understanding

transformer NLP models

OCR technologies

AWS SageMaker

Amazon Bedrock

Docker

Kubernetes

GPU inference

MLOps tools

MLflow

SageMaker Pipelines

communication skills

Education

Bachelor’s degree or MS or PhD in quantitative discipline

Tools

Docker

Kubernetes

AWS SageMaker

Amazon Bedrock

Oracle databases

Job description

Next Frontier Capital is seeking an Applied AI/ML Lead to design, develop, and deploy AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents. You will architect CV pipelines, leverage CRNNs, and integrate OCR with multimodal document understanding.

You will lead model development, optimize pipelines on AWS SageMaker, and explore Bedrock capabilities to augment traditional extraction.