Applied AI Engineer

MANTECH is seeking an Applied AI Engineer in Doral, FL to design, build, and deploy scalable AI and machine learning solutions. The role focuses on orchestrating AI/ML pipelines and delivering model capabilities that address operational challenges onsite.

Responsibilities

• Design, develop, and deploy scalable artificial intelligence and machine learning models to address complex operational challenges.
• Orchestrate AI/ML pipelines by integrating data streams and automating continuous training and evaluation workflows across mission networks.
• Collaborate with cross-functional technical teams, data architects, and stakeholders to define AI architecture standards and integration baselines.
• Evaluate model performance, tune and optimize models across cloud, on-premise, and edge computing environments.
• Maintain technical baseline configurations and engineering documentation for AI systems and algorithmic models.
• Assess emerging AI frameworks, generative models, and tooling, and recommend continuous improvements to processes and systems.

Required Qualifications

• Bachelor’s degree (or higher per options) with 5+ years of experience in advanced analytics or data science roles.
• Alternative education paths include: Master’s degree with 3+ years of relevant experience; PhD with 1+ year of relevant experience; Associate’s degree with 7+ years of relevant experience; or High school diploma with 9+ years of relevant experience.
• Proven experience developing and deploying machine learning models and AI applications using modern frameworks, such as PyTorch and TensorFlow.
• Strong software development background, including API integration and programming languages such as Python and C++.
• Experience with cloud architectures, containerization (Docker, Kubernetes), and MLOps deployment pipelines.
• Ability to create, maintain, and communicate complex technical documentation and AI system architectures.

Technologies

• PyTorch, TensorFlow, Python, C++
• Docker, Kubernetes
• MLOps

Preferred Qualifications

• Relevant professional certifications, for example AWS Certified Machine Learning Specialist or Azure AI Engineer Associate.
• 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.

Security Clearance

Must hold a current/active secret security clearance.

Work Location and Physical Requirements

• Onsite role in Doral, FL.
• Must be able to remain in a stationary position for 50% of the time.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, and related items.
• Frequently communicates with co-workers, management, and customers, which may include delivering presentations. Must be able to exchange accurate information during these interactions.