AI/ML Engineer III

H2B Consulting, Inc.
Englewood, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 146K

Job location

Englewood, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Data analysis
Artificial Neural Networks
Big Data
C Sharp (Programming Language)
C++
Computer Security
Nvidia CUDA
DevOps
Human-Computer Interaction
Python
Machine Learning
Rapid Prototyping Process
TensorFlow
Sensor Fusion
Software Engineering
Software Requirements Analysis
Systems Architecture
Management of Software Versions
Reinforcement Learning
High Performance Computing
Feature Engineering
Data Ingestion
PyTorch
Deep Learning
Model Validation
Generative AI
Gpu Programming
Information Technology
Hardware Acceleration
Machine Learning Operations
TensorRT
Data Pipelines

Job description

As an AI/ML Engineer III, you will serve as the technical lead for advanced artificial intelligence and machine learning initiatives within a fast-paced research and development environment. In this role, you will architect, develop, and deploy innovative AI/ML solutions that support autonomy, perception systems, analytics, and next-generation technologies for aerospace and defense applications. Working alongside cross-functional engineering teams, you will lead rapid prototype development, establish technical direction, mentor fellow engineers, and translate mission objectives into scalable AI/ML systems that deliver real-world impact under accelerated development timelines., * Lead the design, development, and deployment of advanced AI/ML models, including deep learning, reinforcement learning, and generative AI solutions

  • Architect scalable AI/ML systems and rapid proof-of-concept prototypes from data ingestion through model deployment and evaluation
  • Define technical requirements, system architecture, and development roadmaps aligned with mission objectives
  • Collaborate with software, systems, hardware, and product engineering teams to integrate AI/ML capabilities into autonomous platforms
  • Shape AI/ML system behavior, evaluate technical tradeoffs, and solve complex engineering challenges in evolving environments
  • Develop validation, testing, and performance frameworks to ensure reliability, safety, and compliance
  • Identify technical risks, recommend mitigation strategies, and support project planning, staffing, and resource requirements
  • Mentor engineers, promote AI/ML best practices, and help expand organizational machine learning capabilities
  • Present technical demonstrations, trade studies, and project updates to leadership and key stakeholders
  • Research and implement emerging AI/ML technologies to drive innovation across aerospace and defense programs

Supervisory Responsibilities

  • No immediate direct reports

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related STEM field (or equivalent experience)
  • 6+ years of AI/ML, software engineering, or related experience (9+ years without a degree)
  • Strong proficiency with Python, C++, C#, or Java for AI/ML application development.
  • Experience with TensorFlow, PyTorch, and modern machine learning frameworks
  • Expertise in supervised, unsupervised, reinforcement learning, and generative AI models, including transformers
  • Experience developing, deploying, optimizing, and scaling production AI/ML models, including CNNs, RNNs, and neural networks
  • Knowledge of AI/ML architecture, data pipelines, feature engineering, model training, deployment, and optimization
  • Experience leading technical projects, mentoring engineers, and working independently with minimal oversight
  • Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders
  • Understanding of AI/ML validation, testing, cybersecurity, and regulatory requirements within aerospace or defense environments

Preferred Experience

  • Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
  • Experience leading AI/ML initiatives within aerospace, defense, or advanced technology organizations
  • Background building or scaling AI/ML capabilities for emerging engineering teams
  • Experience with embedded AI, autonomous systems, multimodal sensor fusion, or real-time machine learning applications
  • Knowledge of MLOps, model validation frameworks, data versioning, and DevOps or Agile development practices
  • Experience with GPU programming, CUDA, TensorRT, high-performance computing, or hardware acceleration technologies
  • Hands-on experience with reinforcement learning, generative AI, GANs, transformers, or advanced statistical modeling
  • Familiarity with edge AI, explainable AI (XAI), and human-machine interface (HMI) development.
  • Experience analyzing large-scale datasets and translating mission objectives into technical system requirements
  • Demonstrated ability to deliver rapid AI/ML prototypes within fast-paced research and development environments, * Because this client is a Federal Government Contractor performing services for the DoD, US Air Force, NASA and others, they do require US, Non-Dual Citizenship

Benefits & conditions

$65 - $70 an hour - Full-time, Contract, Pulled from the full job description

  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Paid holidays, * Position offers an hourly W2 Rate between $65 - $70, with additional benefits, Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Perks of the Job

Health Benefits

Multiple Healthcare plans are available, Vision, Dental, Medical, and Life insurance

Paid Time Off

Competitive Paid Leave plan includes 10 (PTO) days, 12 Paid holidays, and 5 sick days

Financial Benefits

Nonmatching, self-administered 401k program through Human Interest

Top Tier Clients

H2B works with resume-building Clients, offering vast opportunities for growth

Professional Support

Our employees are set up for success with the tools, training, and time they need

Culture of Inclusivity

We embrace difference, and we value diversity in our, and every, workforce

About the company

Our Client delivers customer-focused operations and best-of-breed integrations in the aerospace and defense sectors. Through leading-edge technologies and transformative solutions, it has been honored as one of the most innovative U.S. companies in space, a Tier One Superior Supplier for the U.S. Air Force, and one of America's fastest-growing corporations. The Mission Solutions and Technologies (MST) team also provides affordable, turn-key command/control, communications, integrated ISR, force protection, and security solutions worldwide. #EngineeringTheFuture, Our Client's mission is to stay ahead of the curve, developing solutions today to tackle the challenges of tomorrow. With over 60 years of leadership, they have driven transformative change in the aerospace and defense industry. Their innovative solutions provide connected protection through advanced command, control, and communications platforms, along with capabilities in ISR, cyber, electromagnetic spectrum management, and more, ensuring national security across multiple domains. Dedicated to expanding the industrial base and delivering open architecture platforms, our client plays a crucial role in fostering competition, providing value, and accelerating innovation. Their ability to scale and commitment to open architecture set them apart in driving industry progress.

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