Applied AI Engineer

MANTECH seeks a motivated, career and customer-oriented Applied AI Engineer to join our team in Doral, FL .

Responsibilities

• Include But Are Not Limited To Designing, developing, and deploying scalable artificial intelligence and machine learning models to solve complex operational challenges.
• Orchestrating AI/ML pipelines, integrating data streams, and automating continuous training and evaluation workflows across mission networks.
• Collaborating with cross-functional technical teams, data architects, and stakeholders to define AI architecture standards and integration baselines.
• Conducting model evaluation, performance tuning, and optimization across cloud, on-premise, and edge computing environments.
• Maintaining technical baseline configurations and engineering documentation for AI systems and algorithmic models.
• Evaluating emerging AI frameworks, generative models, and tooling to recommend continuous process and system improvements.

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field with 5+ years of experience in advanced analytics or data science roles.
• OR a master’s degree and 3+ or more years of relevant experience OR a PhD and 1+ or more years of relevant experience OR an associate’s degree and 7+ or more years of relevant experience OR a high school diploma and 9+ or more years of relevant experience Proven experience developing and deploying machine learning models and AI applications using modern frameworks (e.g., PyTorch, TensorFlow).
• Strong background in software development, API integration, and programming languages such as Python and C++.
• Experience with cloud architectures, containerization (Docker, Kubernetes), and MLOps deployment pipelines.
• Experience creating, maintaining, and communicating complex technical documentation and AI system architectures.

Preferred Qualifications

• Relevant professional certifications (e.g., AWS Certified Machine Learning Specialist, Azure AI Engineer Associate).
• Direct experience supporting U.S.
• Military Command operations or Department of Defense enterprise technical environments.
• Hands-on experience with natural language processing (NLP), computer vision, or large language model (LLM) fine-tuning and integration.
• Familiarity with DevSecOps, data governance, and secure AI deployment protocols.
• Clearance Requirements Must hold a current/active secret security clearance.
• Physical Requirements Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations.