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Develop, implement and optimize AI models and tools to improve the efficiency of our NPI processes in the targeted improvement areas.
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Establish an AI capability for common test method (CTM) automated development, re-use and configuration management.
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Define and implement a strategic roadmap for AI capabilities required to optimize manufacturing verification testing, margin analysis, production troubleshooting, and production TAKT times.
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Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
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Build and manage the infrastructure needed for AI development and production, including data pipelines for machine learning workflows.
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Collect, preprocess, and manage large datasets, ensuring data quality and suitability for model training.
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Optimize and fine-tune AI models for improved accuracy, performance, and efficiency.
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Test and validate AI model performance and implement monitoring systems to ensure reliability in production.
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Maintain comprehensive documentation of AI models, processes, and experimental results.
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Stay up-to-date with the latest advancements in AI research and technology to incorporate new methodologies.
Qualifications You Must Have:
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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.
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Degree or certificate related to AI/ML.
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Experience with machine learning, deep learning, NLP, and computer vision.
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Experience with data preprocessing, cleaning, and transformation techniques.
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Experience in developing, modifying or using AI models and applications with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Programming skills in languages such as Python.
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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.
Qualifications We Prefer:
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Ability to work with large datasets and perform data analysis using tools like Pandas or Spark.
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Ability to train users to effectively apply AI techniques and tools to solve manufacturing and engineering problems.
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Excellent problem-solving skills and ability to work in a team environment.
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Experience in leading teams/projects in a technical capacity.
What We Offer:
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Learn More & Apply Now:
Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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