Senior Machine Learning Engineer

March 22

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Criterion Systems

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Criterion Systems is a company focused on delivering innovative IT solutions to protect and secure critical information assets for its clients. The company specializes in cybersecurity, cloud automation and management, IT infrastructure solutions, and comprehensive managed services. Criterion Systems aims to support governmental priorities with mission-driven solutions, emphasizing a commitment to professional development and community impact.

Cybersecurity • IT Infrastructure • Systems Engineering • Cloud Computing • Data Center Management

201 - 500 employees

Founded 2005

🔒 Cybersecurity

📋 Description

• Senior Machine Learning Engineer role to provide support for the Department of Labor. • 100% remote, can work anywhere in the Continental United States. • Execute projects under the direction of the customer’s AI division leadership. • Develop, train, test, and deploy ML models to production with robust monitoring and logging. • Study and transform data science prototypes, select suitable data sets, and conduct data collection and modeling. • Perform statistical analysis and tune hyper-parameters to enhance model performance. • Automate work-flows for data collection, model training, and deployment. • Implement continuous integration/continuous deployment (CI/CD) pipelines for ML projects. • Monitor models in production and optimize performance over time. • Work with data scientists to transition models from development to production. • Document processes and provide knowledge transfer to other team members or teams. • Evaluate and apply new tools and technologies to enhance ML operations (MLOps) practices. • Lead customer communications and project presentations related to ML development. • Coordinate with a peer ML Engineer on tasks and provide subject matter expertise to subordinate ML Engineers. • Collaborate with cross-functional engineering and operations teams to deliver solutions.

🎯 Requirements

• 6-10 years experience in developing and deploying ML models at scale • Proficiency with ML frameworks such as TensorFlow, PyTorch, or similar • Experience implementing MLOps principles, including version control and CI/CD • Familiarity with infrastructure automation tools (e.g., Docker, Kubernetes) • Experience with cloud services implementing APIs for model deployment (e.g., AWS SageMaker, Azure ML) • Strong programming skills in Python, R, Bash, and/or other related languages for automation • Ability to clearly communicate/present technical issues and status to customers • Ability to create project documentation (e.g., SOP) and user guidance • Proficient with Microsoft Office 365 applications, specifically Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint • Experience working in an agile environment, coordinating across multiple teams • Ability to execute in a remote work environment • Experience with Federal government customers preferred

🏖️ Benefits

• Medical • Dental • Vision • Life Insurance • Short-Term Disability • Long-Term Disability • 401(k) match • Tuition/Training Assistance • Parental Leave • Paid Time Off • Holidays