Senior AI-ML Engineer

AIToolboard; Suitland (MD); On-site; USD 170,000 - 230,000; Full time

Job summary

AIToolboard in Suitland-Silver Hill, MD seeks a Senior AI/ML Engineer to design, deploy and optimize cloud-native AI solutions for government programs. You will build scalable pipelines and integrate models with enterprise systems for NLP, CV, and predictive analytics using big data.

The role requires active TS/SCI clearance, a STEM degree, 6–10 years of AI/ML experience, and hands-on work with Azure ML, AWS SageMaker or Vertex AI, Python or R, and Responsible AI practices.

Qualifications

• Active TS/SCI clearance is required.
• Degree in a STEM field (CS/IT/MIS or related).
• 6–10 years of AI/ML development and deployment experience.
• Proven experience in cloud-based AI pipelines and scalable architectures.
• Hands-on with NLP, computer vision, and predictive analytics; big data processing.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions on cloud platforms.
• Architect AI systems for NLP, CV, and predictive analytics.
• Implement and manage AI/ML pipelines and tooling in cloud environments.
• Integrate AI/ML models with enterprise and cloud systems.
• Adhere to Responsible AI principles and metrics.

Skills

Active TS/SCI clearance

Python or R proficiency

Cloud AI platforms

Big data processing

NLP/CV/Predictive analytics

Responsible AI principles

Education

Bachelor's or Master's degree in CS/IT/MIS or related STEM field

Tools

Azure Machine Learning

AWS SageMaker

Google Vertex AI

Docker

Kubernetes

Job description

/Senior AI-ML Engineer# Senior AI-ML EngineerVets HiredSuitland-Silver Hill, USFull-time## About the RoleJob SummaryWe are seeking a Senior-level AI/ML Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of mission-critical government programs. This role requires deep expertise in architecting scalable, high-performing AI systems on cloud platforms, integrating AI/ML models with enterprise systems, and leveraging big data processing to drive intelligent outcomes.The ideal candidate brings hands-on experience with cloud-based AI platforms, advanced machine learning techniques, and Responsible AI practices, and thrives in a collaborative, fast-paced technical environment.Responsibilities• Design, develop, and deploy scalable AI/ML solutions on cloud platforms.• Architect high-performing AI systems for predictive analytics, natural language processing, and computer vision applications.• Implement and manage AI/ML pipelines and tooling in cloud environments.• Integrate AI/ML models with existing enterprise and cloud-based systems to ensure seamless operations.• Apply advanced machine learning techniques and big data processing to enhance model performance.• Adhere to Responsible AI (RAI) policies and develop metrics to evaluate AI solution effectiveness.• Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and integration.• Stay current with emerging AI/ML technologies, tools, and industry best practices.Qualifications Required• Active TS/SCI clearance.• Bachelors or Masters degree in Computer Science, Information Technology, Management Information Systems, or a related STEM field.• 6–10 years of experience in AI/ML development and deployment.• Proven experience in designing and implementing AI/ML solutions and cloud-based pipeline tools.• Advanced expertise in architecting scalable, high-performing AI systems for NLP, computer vision, and predictive analytics.• Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.• Strong background in big data processing and advanced ML techniques.• Demonstrated ability to integrate AI/ML models with enterprise systems and cloud environments.• Deep proficiency in machine learning programming languages such as Python or R.• In-depth knowledge of AI cloud tools and capabilities.• Understanding of Responsible AI (RAI) principles, metrics, and evaluation methodologies.• Relevant certifications such as:• Azure Solutions Architect• AI Engineer Associate (or equivalent)• AWS Certified Machine Learning• Security+Desired• Experience with containerization and orchestration technologies (Docker, Kubernetes).• Knowledge of DevOps practices and CI/CD pipelines.• Familiarity with data visualization tools and techniques.• Strong problem-solving skills and ability to perform effectively in a fast-paced environment.### Apply for this PositionFill out the form below to apply for this roleLocationSuitland-Silver Hill, US