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James Aulds

@jamesaulds1

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Experienced AI/ML Engineer specializing in Azure MLOps, scalable model deployment, and production monitoring.

United States

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What I'm looking for

I seek roles focused on building production-grade AI/MLOps systems in collaborative, security-conscious teams that value automation, scalability, and measurable impact.

I am an AI/ML engineer with deep expertise in Azure Machine Learning, MLOps, and DevOps practices, focused on delivering scalable, secure AI solutions for regulated environments. I design, deploy, and monitor production machine learning systems that improve operational outcomes while ensuring compliance.

My work spans building end-to-end MLOps pipelines, containerized microservices, and real-time data processing using technologies like Kubernetes, Terraform, MLflow, and Azure Databricks. I have led initiatives in video analysis, predictive maintenance, and generative NLP assistants, driving measurable efficiency and insight.

I collaborate closely with cross-functional and remote teams to align AI efforts with business goals, automate CI/CD workflows, and implement robust monitoring and security controls. I am committed to continuous improvement, reproducible experimentation, and delivering reliable AI that scales in production.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Johnson & Johnson

Aug 2022 - Present (3 years 10 months)

Delivered scalable AI-powered video analysis and telepresence features for surgical workflows by integrating Azure ML, MLOps pipelines, and containerized backend services, reducing manual processing time and improving postoperative monitoring.

Azure Machine Learning MLOps Kubernetes Docker MLFlow Python TensorFlow PyTorch Azure DevOps

AI Engineer

Walmart

Jan 2020 - Jul 2022 (2 years 6 months)

Developed and deployed a generative AI assistant and end-to-end MLOps pipelines using Azure ML and Databricks, automating merchandising tasks and enabling near real-time operational support for retail teams.

Databricks NLP fastAPI Kubernetes Docker MLFlow Azure DevOps Python

Machine Learning Engineer

Caterpillar Inc.

Jul 2017 - Dec 2019 (2 years 5 months)

Built the predictive maintenance platform by designing IoT data pipelines and MLOps workflows on Azure, deploying predictive models for real-time anomaly detection and reducing equipment downtime.

Azure IoT Hub Spark Terraform Docker Kubernetes scikit learn TensorFlow Python