Bachelor’s degree in a related field., 7+ years of technical experience., Experience deploying ML models at scale., Proficiency in Python, R, and Bash..
Key responsabilities:
Develop, train, test, and deploy ML models.
Collaborate with teams to transition models into production.
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Cherokee Federal – a division of Cherokee Nation Businesses – is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation’s mission around the globe for more than 60 federal clients. With our heritage of ingenuity coupled with modern business practices, we serve as a trusted partner that can innovate and implement solutions. Our team of companies, with more than 9,000+ employees, manages nearly 2,000 projects of all sizes across the construction, engineering and manufacturing, and mission solutions portfolios — ranging from advanced data analytics and telehealth to cybersecurity, cloud and logistics.
Cherokee Federal’s team of small disadvantaged business entities, many of which are 8(a) and/or HUBZone certified, offer attractive contract vehicles with unique advantages – resulting in a streamlined, responsive contract management process.
The Machine Learning (ML) Engineer supports 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. U.S. Citizenship required.
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.
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.
U.S. Citizenship is required
Ability to obtain a Public Trust
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
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
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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.
Required profile
Experience
Level of experience:Senior (5-10 years)
Industry :
Government Administration
Spoken language(s):
English
Check out the description to know which languages are mandatory.