M
Applied AI Engineer
MANTECH
2 hours ago
Full-time
On-site
Tallahassee, Florida, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr