Applied AI Engineer

MANTECH; Florida; On-site; USD 120,000 - 160,000; Full time

Job summary

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.

The engineer will design, develop, and deploy models, integrate data streams, and automate training across mission networks, collaborating with data architects and stakeholders to set architecture standards and deployment baselines.

Qualifications

• Bachelor’s degree with 5+ years in analytics or data science.
• Alternative education paths include: Master’s with 3+ years; PhD with 1+ year; Associate’s with 7+ years; or HS diploma with 9+ years of relevant experience.
• Proven experience developing and deploying ML models using PyTorch and TensorFlow.
• Strong software development background, including Python and C++.
• Experience with cloud architectures, containerization (Docker, Kubernetes), and MLOps deployment pipelines.
• Ability to create, maintain, and communicate complex AI system architectures.

Responsibilities

• Design, develop, and deploy scalable AI/ML models to address operational challenges.
• Orchestrate AI/ML pipelines by integrating data streams and automating training/evaluation workflows.
• Collaborate with cross-functional teams to define AI architecture standards and integration baselines.
• Evaluate model performance, tune and optimize across cloud, on‑premise, and edge environments.
• Maintain technical baseline configurations and engineering documentation for AI systems.
• Assess emerging AI frameworks and tooling and recommend process improvements.

Skills

Advanced analytics

Data science

AI model deployment

API integration

Cloud architectures

MLOps

NLP & CV

Education

Bachelor's degree

Master's degree

PhD

Associate's degree

High school diploma

Tools

PyTorch

TensorFlow

Python

C++

Docker

Kubernetes

MLOps

API integration

Job description

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.