AI Applications Specialist IV

RTX•Tucson, AZ

4d•Onsite

About The Position

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. We are seeking a talented AI Applications Specialist IV to join our innovative New Product Introduction (NPI) team focused on applying AI technology to achieve our NPI goals in the areas of common test method (CTM) automated development, manufacturing verification testing, margin analysis, production troubleshooting, and throughput optimization. As part of the NPI team, you will work to develop, implement and optimize AI models and tools to improve the efficiency of our processes in the targeted improvement areas. Your expertise will enable us to harness data effectively and extract actionable insights, allowing us to elevate our solutions to a new level. The ideal candidate will be knowledgeable in machine learning, deep learning, and statistical analysis, with the ability to work with large datasets and leverage various AI frameworks. In this dynamic and fast-paced environment, you will have the opportunity to experiment with advanced technologies and influence the direction of our projects. If you are passionate about AI and looking for a challenging and rewarding role in an organization that values innovation and teamwork, we encourage you to apply and contribute to our mission of driving progress through artificial intelligence.

Requirements

Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum 8 years prior relevant experience, or an Advanced degree in a related field and minimum 6 years’ experience.
Degree or certificate related to AI/ML.
Experience with machine learning, deep learning, NLP, and computer vision.
Experience with data preprocessing, cleaning, and transformation techniques.
Experience in developing, modifying or using AI models and applications with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
Programming skills in languages such as Python.
Active and transferable U.S. Government issued security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Ability to work with large datasets and perform data analysis using tools like Pandas or Spark.
Ability to train users to effectively apply AI techniques and tools to solve manufacturing and engineering problems.
Excellent problem-solving skills and ability to work in a team environment.
Experience in leading teams/projects in a technical capacity.

Responsibilities

Develop, implement and optimize AI models and tools to improve the efficiency of our NPI processes in the targeted improvement areas.
Establish an AI capability for common test method (CTM) automated development, re-use and configuration management.
Define and implement a strategic roadmap for AI capabilities required to optimize manufacturing verification testing, margin analysis, production troubleshooting, and production TAKT times.
Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
Build and manage the infrastructure needed for AI development and production, including data pipelines for machine learning workflows.
Collect, preprocess, and manage large datasets, ensuring data quality and suitability for model training.
Optimize and fine-tune AI models for improved accuracy, performance, and efficiency.
Test and validate AI model performance and implement monitoring systems to ensure reliability in production.
Maintain comprehensive documentation of AI models, processes, and experimental results.
Stay up-to-date with the latest advancements in AI research and technology to incorporate new methodologies.