Applied AI Engineer

ManTech; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

MANTECH seeks a motivated Applied AI Engineer to join our team in Doral, FL. Design, develop, and deploy scalable AI/ML models to solve complex operational challenges across mission networks.

You will orchestrate AI/ML pipelines, collaborate with cross-functional technical teams, and optimize models across cloud, on‑prem, and edge environments while maintaining documentation and security standards.

Qualifications

• Bachelor’s degree with 5+ years in advanced analytics or data science.
• Or Master’s degree with 3+ years experience.
• Or PhD with 1+ year experience.
• Or Associate’s degree with 7+ years experience.
• Or High school diploma with 9+ years experience.
• Proven experience deploying ML models using PyTorch or TensorFlow; strong software development background.

Responsibilities

• Design, develop, and deploy scalable AI/ML models to solve complex operational challenges.
• Orchestrate AI/ML pipelines, integrating data streams, and automating training/evaluation workflows.
• Collaborate with cross-functional teams to define AI architecture standards and integration baselines.
• Evaluate and optimize models across cloud, on-prem, and edge computing environments.
• Maintain technical baseline configurations and engineering documentation for AI systems.
• Evaluate emerging AI frameworks and tooling to drive improvements.

Skills

Python

C++

PyTorch

TensorFlow

APIs

MLOps

Docker

Kubernetes

Cloud architectures

Data analysis

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Master’s degree (MS) in related field

PhD in related field

Associate’s degree

High school diploma

Tools

Docker

Kubernetes

Python

C++

Cloud platforms

APIs

Job description

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.