Machine Learning Engineer

Machine Learning Engineer

As required by our governmental client, this position requires being a US Citizen AND an active Top Secret or DOE “Q” clearance or the ability to obtain a  Top Secret or DOE “Q” clearance to be considered. 

Join Criterion Systems as a Machine Learning (ML) Engineer supporting the Department of Labor. This 100% remote role collaborates with the Office of the Chief Information Officer to drive innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions. You'll work closely with technical leads to develop, deploy, and optimize ML models while supporting Responsible AI practices.

Compensation & Benefits:

Estimated Starting Salary Range for Machine Learning Engineer: $118,000 to $120,000

Pay commensurate with experience.

Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided.  Benefits are subject to change with or without notice.

Machine Learning Engineer Responsibilities Include: 

• Develop, train, test, and deploy ML models with robust monitoring and logging.
• Transform data science prototypes into scalable solutions and manage data pipelines.
• Perform statistical analyses and tune hyper-parameters to optimize model performance.
• Automate workflows, implement CI/CD pipelines, and monitor models in production.
• Collaborate with data scientists and engineers to transition models into production environments.
• Evaluate and adopt new ML tools and technologies to enhance operations.
• Document workflows and provide knowledge transfer to team members.
• Communicate technical issues and project status clearly to customers. 
• Performs other job-related duties as assigned

Machine Learning Engineer Experience, Education, Skills, Abilities requested: 

• Bachelor’s degree in a related field or equivalent experience.
• 7+ years of technical experience
• Experience deploying ML models at scale using frameworks like TensorFlow or PyTorch.
• Proficiency in Python, R, Bash, and automation tools.
• Familiarity with Docker, Kubernetes, and cloud services like AWS SageMaker or Azure ML.
• Strong understanding of MLOps principles, version control, and CI/CD.
• Ability to work in an agile, remote environment with Federal government customers.
• Must pass pre-employment qualifications of Cherokee Federal

Company Information:

Criterion is a part of Cherokee Federal – the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government’s mission with compassion and heart. To learn more about Criterion, visit cherokee-federal.com.

#CherokeeFederal #LI #LI-REMOTE

Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.

Similar searchable job titles:

• Data Scientist
• Artificial Intelligence Engineer
• ML Ops Engineer
• Deep Learning Engineer
• Data Engineer

Keywords:

• Machine Learning
• MLOps
• Deployment
• Automation
• Cloud

Legal Disclaimer: Cherokee Federal is an equal opportunity employer. Please visit cherokee-federal.com/careers for information regarding our Affirmative Action and Equal Opportunity Employer Statement, and Accommodation request.

Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.