Senior AI-ML Engineer

Join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in AI/ML development and deployment, with a proven track record of designing and implementing scalable AI solutions on cloud platforms.

What You Will Do

Design, develop, and deploy scalable AI/ML solutions on cloud platforms. Implement and manage AI pipelines and tools on cloud environment. Integrate AI/ML models with existing enterprise systems and ensure seamless operation.

Why It Might Be a Fit

We value the unique contributions that every employee brings to our company and our customers. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

Requirements

• Active TS/SCI clearance
• Bachelor's or Master's degree in Computer Science, Information Technology, Management Information Systems, or related STEM field
• 6–10 years of experience in AI/ML development and deployment
• Experience in Design and Implementation
• Proven experience in designing and implementing AI/ML solutions and pipeline tools on the cloud
• Advanced knowledge of architecting scalable and high-performing AI systems for predictive analytics, natural language processing, and computer vision
• Cloud AI Platforms: Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI
• Big Data and ML Techniques: Demonstrated expertise in big data processing and advanced ML techniques
• Integration Skills: Strong experience integrating AI/ML models with existing enterprise systems and cloud platforms
• Programming Languages: Deep knowledge of programming languages for Machine Learning (Python, R, or similar)
• AI Cloud Knowledge: In-depth knowledge of AI cloud tools and capabilities
• Responsible AI: Understanding of Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for emerging and existing areas of AI
• Certifications: Azure Solutions Architect, AI Engineer Associate or equivalent, AWS Certified Machine Learning, Security+

Benefits

• healthcare
• wellness
• financial
• retirement
• family support
• continuing education
• time off benefits