System One
Machine Learning/AI Engineer
Merrifield, Virginia, USA · contract, third party
Sponsorship not specifiedDetected 26 days ago
C++AlgorithmsAzureCloud PlatformsCI/CDMachine LearningDeep LearningTensorFlowData ScienceData VisualizationNLPComputer VisionLLMsAgentic AIMLOpsStatisticsResearch
About the role
- Candidates must live in the United States and be able to pass both a criminal and credit background check.
- A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems.
- System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America.
Responsibilities
- Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
- Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
- Develop data science solutions based on tools and cloud computing infrastructure.
- Perform other duties as assigned.
- Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases.
Requirements
- Advanced degree in in computer science, mathematics, physics, statistics.
- Strong experience with applying expertise in model design, training, validation, and monitoring.
- Experience with cloud computing infrastructure.
- Experience with Natural Language Processing/ Natural Language Understanding.
- Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
- Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
- Experience with Speech Recognition.
- Experience with Microsoft Azure services.
Benefits
- Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
- Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
- Experience with Computer Vision, image processing and video analytics.
- Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
- Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
- Experience with Advance Reinforcement Learning Paradigms.
Company info
- Ability to work individually, and as part of a team.
Equal opportunity
- Equal Opportunity Employer.
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This listing is sourced directly from System One's careers page and normalized into a canonical job model.