AI​/ML Engineer III Security Clearance

Position: AI/ML Engineer III with Security Clearance
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. The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4

ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries. 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., Tensor Flow, 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…