AI​/ML Engineer

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

BI&A is seeking highly motivated and skilled AI/ML Engineers to join our team and contribute to innovative artificial intelligence (AI) and machine learning (ML) initiatives. The successful candidate will design, develop, test, evaluate, and deploy advanced AI/ML models and ensembles across multiple domains, including generative AI, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. This role will also involve leveraging expertise in AI/ML algorithms, software development, and cloud computing to support the Sponsor’s strategic initiatives.

• Design, develop, and deploy AI/ML models and ensembles to address complex challenges in domains such as generative AI, classification, prediction, computer vision, NLP, and reinforcement learning.
• Conduct rigorous testing, validation, and performance evaluation of AI/ML models, ensuring robustness, scalability, and ethical considerations in line with best practices.
• Develop and implement pipelines for data preprocessing, feature engineering, and model training using structured and unstructured datasets.
• Leverage cloud computing platforms and frameworks for scalable AI/ML model development, deployment, and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to align AI/ML solutions with organizational objectives and mission requirements.
• Stay current with advancements in AI/ML technologies, frameworks, and tools, incorporating emerging trends into research and development efforts.
• Document research protocols, methodologies, and findings in formats such as technical reports, Git Hub repositories, and analytic publications.
• Provide technical guidance and AI/ML engineering expertise to support the transition of prototypes into production environments.

To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:

• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical field
• 5 Years of experience on AI/ML or Data Science or highly related field of work with similar scope and responsibilities.

• Active TS/SCI with Polygraph Clearance
• 5 years of experience with Python or R programming languages for AI/ML development
• 5 years of experience with Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment
• 5 years of experience with AI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking

• Experience with AI/ML model explainability and interpretability techniques
• Familiarity with Sponsor's enterprise services, security controls, and data management practices
• Experience with front-end web development frameworks, such as Flask
• Experience with Tableau to produce visualizations and dashboards
• Experience with verification and validation test benches
• Deep learning frameworks, such as PyTorch, Tensor Flow, or Keras
• Version control systems, such as Git Hub