Job description

Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we’ve been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now—protect and innovate with MANTECH! 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. MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

Requirements

Must-haves

MANTECH seeks a motivated, career and customer-oriented Applied AI Engineer to join our team in Doral, FL .
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.
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
Experience with cloud architectures, containerization (Docker, Kubernetes), and MLOps deployment pipelines. Experience creating, maintaining, and communicating complex technical documentation and AI system architectures.
Must hold a current/active secret security clearance.
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.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

Nice-to-haves

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.

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Keywords to mirror

aimachine learningmlapipythondockerkubernetesawsazurellm

Platform: avature
Effort: medium

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