Senior MLOps Engineer

JASON WALCOTT

Senior MLOps Engineer

Covington, GA 770-***-**** ****************@*******.***

PROFILE

MLOps and machine learning engineering professional with 12+ years of experience supporting production AI systems, cloud infrastructure, ML deployment workflows, and large-scale data processing environments across fintech, SaaS, and enterprise technology organizations. Strong background building reliable machine learning platforms, automating CI/CD workflows, managing containerized applications, and improving operational stability for distributed AI services. Experienced working with Python, SQL, AWS, Docker, Kubernetes, Airflow, Terraform, Spark, and modern DevOps practices to support scalable model training, deployment, monitoring, and infrastructure automation initiatives. Recognized for practical engineering decisions, strong cross-functional collaboration, and maintaining stable production-ready ML environments.

TECHNICAL SKILLS

• Machine Learning & MLOps:

MLOps, Machine Learning, Model Deployment, Model Monitoring, Workflow Automation, Experiment Tracking, Feature Engineering, ML Pipelines, Predictive Modeling

• Cloud, Infrastructure & DevOps:

AWS, Docker, Kubernetes, Terraform, CI/CD, Git, Jenkins, Linux, Infrastructure Automation, Cloud-Native Applications

• Programming & Data Technologies:

Python, SQL, Apache Spark, Airflow, Pandas, NumPy, PostgreSQL, MongoDB

• Frameworks & Platforms:

TensorFlow, PyTorch, Scikit-learn, Flask, FastAPI

• Professional Strengths:

Technical Leadership, Cross-Functional Collaboration, Agile Delivery, System Reliability, Documentation, Mentorship, Production Support

EDUCATION

Master’s degree in computer science

Georgia State University - Atlanta, GA 2011 - 2013 Bachelor’s degree in computer science

Georgia State University - Atlanta, GA 2007 – 2011

PROFESSIONAL EXPERIENCE

Senior MLOps Engineer / Technical Lead

Winmill Software – New York, NY May 2024 – Present

• Leading enterprise MLOps initiatives focused on scalable machine learning infrastructure, deployment automation, and operational reliability for production AI systems.

• Managing containerized ML environments using Docker and Kubernetes while supporting automated release workflows through CI/CD pipelines.

• Developing reusable infrastructure and deployment configurations using Terraform and cloud- native engineering practices.

• Collaborating with data science and engineering teams to operationalize machine learning models and maintain production inference services.

• Supporting platform monitoring, logging, and system observability using centralized operational and infrastructure monitoring tools.

Senior Machine Learning Engineer

Pepper Pay – Aventura, FL Jul 2018 – Apr 2024

• Developed production-ready machine learning pipelines supporting risk analytics, operational reporting, and predictive modeling workflows.

• Built backend ML services and deployment APIs using Python, Flask, and distributed application design practices.

• Worked with large-scale processing and transformation workflows using Apache Spark, SQL, and cloud-based data platforms.

• Supported automated testing, deployment, and release management using Jenkins, Git, and containerized deployment environments.

• Implemented monitoring and retraining workflows to improve reliability and maintainability of deployed ML applications.

Senior Data Scientist

Stable Kernel – Atlanta, GA Oct 2015 – Jul 2018

• Designed and maintained predictive analytics workflows using Python, Scikit-learn, SQL, and statistical modeling techniques.

• Performed data preparation, feature engineering, and exploratory analysis for operational and customer-focused analytics initiatives.

• Collaborated with software engineering teams to integrate analytics services into internal and client-facing business applications.

• Supported deployment and operationalization of predictive models within cloud-hosted application environments.

• Worked with relational and NoSQL database environments including PostgreSQL and MongoDB. Data Scientist

SOLTECH – Atlanta, GA Oct 2013 – Oct 2015

• Supported analytics and reporting projects involving data transformation, validation, and recurring operational reporting workflows.

• Developed statistical analysis solutions and dashboard reporting processes using Python and SQL.

• Collaborated with technical teams to support backend data integration and maintain data-driven business applications.

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