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AI/ML Engineer

QUANTUM TECHNOLOGIES LLCLone Tree, CO🇺🇸United StatesPosted 11 Aug 2026

Quick Overview

Salary
$78/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI/ML Engineer

Location: Lone Tree, CO

Duration: 6 Months + Extension

Bill Rate: $78/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Summary:

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in designing, developing, and deploying machine learning systems for aerospace and defense applications. In this role, you will lead the creation of cutting-edge AI solutions for complex problems, such as autonomous navigation, sensor fusion, and real-time decision-making. You will also mentor junior engineers, manage key projects, and contribute to strategic decision-making within AI/ML development efforts. Your work will directly impact mission-critical systems and next-generation technologies.


Responsibilities:
  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure.
  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.
  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.
  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.
  • Mentor junior engineers, providing technical guidance and fostering a collaborative, innovative team environment.
  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.
  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.
  • Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications.
  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.
  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.
  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.
  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 6+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers).
  • Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications

Qualifications We Prefer:
  • Master's degree in Artificial Intelligence, Machine Learning, or related field.
  • Experience leading teams or projects in aerospace and defense industries.
  • Familiarity with cybersecurity and regulatory requirements.
  • Proficient in Agile or DevOps workflows; active participant in iterative ML software development.
  • Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling.
  • Hands-on experience with GPU programming and using high-performance computing systems for ML workloads.
  • Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers).
  • Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems.
  • Experience translating mission objectives into actionable system requirements, including HMI scenarios.
  • Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.

    Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Skills

Machine Learning
Agile
C#
CUDA
Computer Vision
C++
Generative AI
Java
PyTorch
Python
TensorFlow

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