Jason Ford

Senior Machine Learning Engineer

Open to offers · Member since 15 Jul 2026

Message

Location: Manassas, United States

Desired salary: Unspecified

Work preference: Remote Only / Full Time

Experience level: Senior

About

Professional summary

I am a Senior Machine Learning Engineer with 12+ years of experience building production-grade AI systems, scalable data pipelines, and cloud-native infrastructure.

I specialize in Large Language Models, RAG architectures, and Generative AI frameworks, and I have a strong foundation in MLOps and DevOps practices.

I have designed end-to-end machine learning solutions that span data ingestion, feature engineering, model training, deployment, and production monitoring.

I work extensively with Python, FastAPI, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, Docker, Kubernetes, Terraform, and AWS.

I have experience in fully remote, distributed team environments and I focus on shipping reliable, high-performance systems at scale.

I am interested in roles where I can continue building modern AI platforms, improving developer productivity, and delivering measurable business impact through machine learning.

Experience

Career history

Senior Machine Learning Engineer Perficient

Jun 2021 – Jun 2026

Worked on LLM infrastructure, automated document processing, and genomics/clinical ML platforms. Built reproducible LLM serving environments, optimized llama.cpp builds, deployed quantized models, implemented Terraform and GitHub Actions workflows, and created GitOps-based Kubernetes deployments with observability and RBAC. Also architected serverless RAG pipelines on AWS and production ML systems for large-scale clinical data.

Machine Learning Engineer Hexagon

Sep 2016 – May 2021

Developed ML platforms for telehealth and investment use cases. Built patient-provider matching algorithms, NLP triage pipelines, forecasting models, ETL workflows, fraud detection systems, and containerized microservices on Kubernetes and EKS with CI/CD automation and monitoring.

Python Developer Brookfield Asset Management

Jul 2014 – Aug 2016

Built backend modules and RESTful APIs in Python using Django and Flask. Developed ETL workflows, optimized SQL queries, and deployed applications on AWS with repeatable environment setup.