Machine Learning Engineer @ Cherokee Federal | Jobright.ai
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Cherokee Federal · 2 days ago

Machine Learning Engineer

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Actively Hiring
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Responsibilities

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

Qualification

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Machine LearningMLOpsDeploymentPythonTensorFlowPyTorchAutomationAWS SageMakerAzure MLRBashDockerKubernetesCI/CDAgile

Required

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

Benefits

Medical
Dental
Vision
401K
And other possible benefits as provided.

Company

Cherokee Federal

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Cherokee Federal, a division of Cherokee Nation Businesses, is a trusted team of government contracting professionals who can rapidly build innovative solutions.

Funding

Current Stage
Late Stage

Leadership Team

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Clint Bickett
Chief Operating Officer
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Charity Mackenzie
Executive Staff Coordinator to VP of HR and CIO
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Company data provided by crunchbase
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