Honeywell Aerospace Technologies
Honeywell Aerospace Technologies
Honeywell Aerospace Technologies — коммерциялық авиацияда, іскерлік және жалпы авиацияда, әскери ұшақтарда және ғарыш платформаларында қолданылатын жүйелерді әзірлеп, оларға қолдау көрсететін Honeywell компаниясының аэроғарыштық бизнес бөлімшесі. Оның қызметі авионика, навигация, сезу жүйелері, қозғалтқыштар, қосалқы қуат қондырғылары, электр қуаты мен қозғалтқыш жүйелері, салон және кабина жүйелері, радиожиілік және электромагниттік қорғаныс, ғарыш электроникасы, микроэлектроника, сондай-ақ техникалық қызмет көрсету, жөндеу және сервистік шешімдерді қамтиды. Компания аэроғарыш және қорғаныс техникасына бағытталған инженерлік, өндірістік және қолдау көрсету топтарын біріктіреді.

Senior AI Manager, Aerospace

Lead production AI, MLOps, and advanced analytics teams at Honeywell Aerospace Technologies. Guide intelligent aviation systems, AI governance, and enterprise adoption.

Сипаттама

  • Build and lead teams developing, deploying, and managing AI models throughout their lifecycle.
  • Establish and expand MLOps practices, covering machine learning CI/CD, model and version management, monitoring, retraining, and platform standards.
  • Assess and integrate external AI tools, technologies, and vendors, and advise on build-or-buy choices.
  • Run design sprints for new product introduction (NPI) challenges to demonstrate AI’s impact on quality, cost, schedules, and business results.
  • Deliver AI initiatives against quality, cost, schedule, and business objectives.
  • Set AI strategy and roadmaps, and expand adoption across products and enterprise platforms.
  • Work with Product, Engineering, Architecture, Data, and Security teams to embed AI capabilities in business solutions.
  • Develop AI-driven improvements in productivity and innovation, including automation, optimization, and predictive intelligence.
  • Lead model governance, responsible AI practices, and compliance frameworks.
  • Provide technical and strategic direction across deep learning, generative AI, natural language processing, computer vision, and predictive analytics.
  • Coach team members and support ongoing learning and innovation.
  • Align stakeholders, present insights, and inform executive decisions.
  • Identify risks early and resolve challenges across AI initiatives.
  • Contribute AI expertise to proposals, innovation efforts, and competitive differentiation.

Талаптар

  • Bachelor’s degree from an accredited institution in a technical field such as science, technology, engineering, or mathematics.
  • At least 8 years of experience in software engineering, data science, or software development.
  • At least 2 years leading technical teams in AI or advanced analytics.
  • Strong command of machine learning, deep learning, and AI system design.
  • Familiarity with the DO-178B software development life cycle.
  • Experience delivering AI solutions at production scale.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Excellent communication and stakeholder management skills.
  • Experience with generative AI, large language models (LLMs), and foundation models.
  • Knowledge of MLOps, model lifecycle management, and AI platform engineering.
  • Experience with cloud platforms such as Azure AI, AWS, and Google Cloud Platform, and with scalable AI architectures.
  • Understanding of data engineering, feature engineering, and big data ecosystems.
  • Experience applying responsible AI, explainability, and governance frameworks.
  • Leadership experience advancing organizational change through AI adoption.
  • Ability to manage complex programs, competing priorities, and cross-functional teams.
  • Track record of shaping strategy and delivering measurable business results.
  • Must qualify as a U.S. Person: a U.S. citizen, U.S. permanent resident, person with protected status in the U.S. under asylum or refugee status, or someone able to obtain export authorization.

Артықшылықтар

  • Employer-subsidized medical, dental, vision, and life insurance.
  • Short- and long-term disability coverage.
  • 401(k) matching.
  • Flexible spending accounts.
  • Health savings accounts.
  • Employee assistance program.
  • Education assistance.
  • Parental leave.
  • 12 paid holidays.
  • Paid vacation, personal, and sick leave.

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