Machine Learning Engineer

4 days ago

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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

• Provide support for the Department of Labor • Join the team supporting the mission of the Officer of the Chief Information Officer for a Federal government agency • Execute projects under the direction of the customer’s AI division leadership • Provide expertise to perform end-to-end development • Explore innovative applications and techniques in natural language processing and applied ML • Develop, train, test, and deploy ML models to production • Study and transform data science prototypes • Perform statistical analysis and tune hyper-parameters • Automate work-flows for data collection, model training, and deployment • Implement CI/CD pipelines for ML projects • Monitor models in production and optimize performance • Work with data scientists to transition models from development to production • Document processes and provide knowledge transfer

🎯 Requirements

• 6+ 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 • Experience working in an agile environment, coordinating across multiple teams

🏖️ Benefits

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