Open to opportunities

James Lewis

@jameslewis

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Senior Machine Learning Engineer specializing in production-ready AI, NLP, and MLOps.

United States

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What I'm looking for

I seek roles building production AI and MLOps at scale—focused on NLP, recommendation systems, real-time inference, team leadership, and ethical, HIPAA-compliant deployments.

I am a Senior Machine Learning Engineer with 10+ years building and deploying scalable AI-driven solutions across healthcare and financial industries, proficient in Python, TensorFlow, PyTorch, Hugging Face, and cloud MLOps on AWS, GCP, and Azure. I design end-to-end ML pipelines, real-time inference systems, and production microservices while championing responsible AI and operational excellence.

I have led and mentored engineering teams, delivered measurable improvements—such as reduced billing errors, faster deployment cycles, and improved model accuracy—and contributed to open-source and industry best practices. I thrive on solving complex NLP, recommendation, and real-time analytics problems and integrating models into enterprise-grade, HIPAA-compliant platforms.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

Hallmark Cards

Jul 2023 - Jul 2025 (2 years)

Spearheaded development of next-generation healthcare recommendation systems integrating GPT-4, T5, and LangChain, and architected MLOps pipelines that reduced medical coding processing time by 40% while improving patient engagement metrics by 28%.

Python Kubeflow Databricks Apache Spark Snowflake fastAPI Kubernetes MLOps Distributed Training

Senior Machine Learning Engineer

Amazon

Jan 2020 - Jun 2023 (3 years 5 months)

Architected scalable recommendation and demand-forecasting systems for retail and financial clients, building low-latency inference pipelines and MLOps workflows that improved forecasting and personalization accuracy while enabling real-time analytics.

Python XGBoost TensorFlow Kubeflow Databricks fastAPI Apache Spark CI CD Snowflake

Machine Learning Engineer

Amazon

Aug 2017 - Dec 2019 (2 years 4 months)

Built high-precision credit scoring, fraud detection, and recommendation models using TensorFlow, scikit-learn, and PyTorch, and operationalized models via REST APIs and CI/CD to support production financial and healthcare applications.

Python TensorFlow PyTorch scikit learn Flask Docker AWS S3 EMR Jenkins

Machine Learning Engineer

AZDS

Jul 2016 - Jul 2017 (1 year)

Engineered supervised and unsupervised ML models for retail demand forecasting and NLP pipelines, deployed models with Docker/Kubernetes, and delivered interactive dashboards to improve decision-making for stakeholders.