Lead ML Engineer – GenAI Document Digitization on AWS

TwinThread; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Tuition reimbursement

Mental health support

Retirement savings plan

Job summary

TwinThread, based in Jersey City, NJ, is seeking a Machine Learning Engineer – Document Digitization (Vice President) to lead the design and deployment of innovative AI solutions. This role focuses on transforming document management processes with advanced machine learning and collaboration with cross-functional teams.

The ideal candidate will have experience in building scalable digitization pipelines and mentoring junior engineers. A competitive total rewards package includes salary, equity, and comprehensive benefits tailored to employee needs.

Qualifications

• Strong proficiency in Python and familiarity with Java and front-end technologies.
• Hands-on experience with AI/ML model development and deployment practices.
• Knowledge of generative AI models and LLMs.

Responsibilities

• Lead the design and development of AI-powered document digitization solutions.
• Manage the end-to-end AI/ML lifecycle in production environments.
• Build and maintain document digitization pipelines using Python and cloud technologies.

Skills

Python programming

AI/ML model development

AWS cloud platforms

Generative AI models

Docker/Kubernetes

Education

Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning

Tools

TensorFlow

PyTorch

Terraform

Mongo Atlas

Job description

TwinThread, based in Jersey City, NJ, is seeking a Machine Learning Engineer – Document Digitization (Vice President) to lead the design and deployment of innovative AI solutions. This role focuses on transforming document management processes with advanced machine learning and collaboration with cross-functional teams.

The ideal candidate will have experience in building scalable digitization pipelines and mentoring junior engineers. A competitive total rewards package includes salary, equity, and comprehensive benefits tailored to employee needs.