Brooksource · 1 day ago
Machine Learning Engineer
Brooksource is a leading utility provider in Charlotte seeking an experienced Machine Learning Engineer to join their team. In this role, you will support ML model deployment and engineering of new ML/AI features to be used across the organization.
EmploymentHuman ResourcesInformation Technology
Responsibilities
Support deployments, validation, and optimization of ML models utilized by data scientists across the organization using Terraform and AWS SageMaker
Monitor model performance and implement automated retraining processes, optimizing performance and cost efficiency
Debug and troubleshoot issues in deployment pipelines and production, using Terraform and Concourse
Engineer new features and solutions, deploy these, and support the platform for model development and deployment
Qualification
Required
A completed Bachelor's degree in Computer Science or related field; or 8 years of equivalent work experience
3+ years of experience in machine learning engineering, or related, roles, ideally deploying ML models and tuning these for performance
Extensive experience using AWS cloud services, specifically SageMaker + Terraform, for deploying and supporting ML models
Strong proficiency writing Python scripts and utilizing ML libraries (PANDAS, NumPy, etc.) to enhance, build, or deploy ML models
Deep understanding of MLOps practices and tools (Docker, Kubernetes, CI/CD)
Benefits
Comprehensive health benefits
Weekly paychecks
Company
Brooksource
Brooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment.
H1B Sponsorship
Brooksource has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (10)
Funding
Current Stage
Late StageLeadership Team
Recent News
Technically Media
2025-05-27
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2025-05-17
2025-05-06
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