Senior Machine Learning Engineer with Security Clearance
- Employer
- Cherokee Federal
- Location
- Albuquerque, New Mexico
- Salary
- Commensurate
- Posted
- Dec 06, 2024
- Closes
- Dec 10, 2024
- Ref
- 2862646357
- Discipline
- Education
- Career Level
- Experienced Career
- Education
- Bachelor, Certificate
- Work Mode
- Onsite
- Contract Type
- Full Time
- Organization Type
- Government
Senior Machine Learning Engineer As a Senior Machine Learning Engineer, you will support the Department of Labor and lead advanced ML initiatives in collaboration with the AI team. This role requires end-to-end ML development, innovative applications, and promoting responsible AI/ML practices. Compensation & Benefits: Estimated Starting Salary Range for Senior Machine Learning Engineer: $147,000 to $150,000 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. Senior Machine Learning Engineer Responsibilities Include: Develop, train, test, and deploy ML models with robust monitoring.
Automate workflows for data collection, training, and deployment.
Implement CI/CD pipelines for ML projects.
Monitor and optimize production ML models.
Collaborate with data scientists to transition models to production.
Document processes and provide knowledge transfer.
Lead customer communications and project presentations.
Coordinate tasks with peer and subordinate ML Engineers.
Performs other job-related duties as assigned
Senior Machine Learning Engineer Experience, Education, Skills, Abilities requested: Bachelor's degree in a related field or equivalent experience.
7+ years of technical experience
Proficiency in ML frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills (Python, R, Bash).
Experience with MLOps, CI/CD, and infrastructure tools (e.g., Docker, Kubernetes).
Expertise in cloud services (e.g., AWS SageMaker, Azure ML).
Excellent communication and documentation skills.
Preferred Certifications:
AWS Certified Solutions Architect
Microsoft Azure Solutions Architect Expert
Google Cloud Professional Cloud Architect
Ability to obtain a Public Trust
U.S. Citizenship required.
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 is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar searchable job titles: Data Scientist - Machine Learning
Artificial Intelligence Engineer
ML Ops Engineer
Deep Learning Engineer
Data Engineer
MLOps
Deployment
Automation
Cloud
Legal Disclaimer: Cherokee Federal is an equal opportunity employer. Please visit 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.
Automate workflows for data collection, training, and deployment.
Implement CI/CD pipelines for ML projects.
Monitor and optimize production ML models.
Collaborate with data scientists to transition models to production.
Document processes and provide knowledge transfer.
Lead customer communications and project presentations.
Coordinate tasks with peer and subordinate ML Engineers.
Performs other job-related duties as assigned
Senior Machine Learning Engineer Experience, Education, Skills, Abilities requested: Bachelor's degree in a related field or equivalent experience.
7+ years of technical experience
Proficiency in ML frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills (Python, R, Bash).
Experience with MLOps, CI/CD, and infrastructure tools (e.g., Docker, Kubernetes).
Expertise in cloud services (e.g., AWS SageMaker, Azure ML).
Excellent communication and documentation skills.
Preferred Certifications:
AWS Certified Solutions Architect
Microsoft Azure Solutions Architect Expert
Google Cloud Professional Cloud Architect
Ability to obtain a Public Trust
U.S. Citizenship required.
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 is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar searchable job titles: Data Scientist - Machine Learning
Artificial Intelligence Engineer
ML Ops Engineer
Deep Learning Engineer
Data Engineer
MLOps
Deployment
Automation
Cloud
Legal Disclaimer: Cherokee Federal is an equal opportunity employer. Please visit 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.