AI/ML Engineer Level 2 jobs in United States
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CACI bv · 2 months ago

AI/ML Engineer Level 2

CACI is seeking a skilled and experienced mid-level AI/ML Engineer to join their dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in machine learning, deep learning, and AI system development, responsible for designing, developing, and deploying machine learning models.

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badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Design, develop, and deploy machine learning models and manage pipelines using tools such as Azure ML, Kubeflow, or MLflow
Implement and manage MLOps practices, including containerization (e.g., Docker, Kubernetes) and CI/CD pipelines
Handle large datasets in cloud environments, performing advanced data preprocessing
Develop custom AI APIs and integrate them into enterprise applications
Ensure adherence to Responsible AI (RAI) policies and develop metrics, measurements, and evaluation methods for emerging and existing AI areas
Collaborate with cross-functional teams to identify opportunities for AI/ML integration and improvement

Qualification

Machine LearningDeep LearningMLOpsContainerizationCI/CD PipelinesData PreprocessingCloud EnvironmentsAI APIsPythonResponsible AIAzure MLGitApache SparkAWSGCPR

Required

TS/SCI Clearance
Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field
3–5 years of experience in machine learning, deep learning, or AI system development
Experience in MLOps, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines
Proficiency in designing, developing, and deploying machine learning models
Advanced knowledge in data preprocessing, including handling large datasets in cloud environments
Experience in developing custom AI APIs and integrating them into enterprise applications
Strong knowledge of programming languages for Machine Learning (Python, R, or similar)
Good understanding of AI cloud tools and capabilities
Familiarity with Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for AI

Preferred

Experience with cloud platforms (Azure, AWS, GCP)
Knowledge of distributed computing frameworks (e.g., Apache Spark)
Familiarity with version control systems (e.g., Git)

Benefits

Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits

Company

CACI bv

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CACI levert, implementeert en beheert bedrijfskritische oplossingen voor het Hoger Onderwijs: het StudentInformatieSysteem OSIRIS en LISA voor zaakgericht werken.

Funding

Current Stage
Growth Stage
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