remote
Computer AI Engineer - Howmet Aerospace
AI Engineer
Develop and deploy AI solutions for aerospace engine component design and manufacturing, using Python, machine learning, and cloud services to improve performance, quality, and efficiency.
About the role
Key Responsibilities
- Collaborate with cross‑functional stakeholders to identify and prioritize AI use cases that enhance design, manufacturing, and quality processes.
- Design, develop, and train machine‑learning and deep‑learning models (e.g., computer‑vision, predictive analytics) using Python and relevant frameworks.
- Integrate AI models into production workflows and cloud platforms (AWS), ensuring scalability, reliability, and real‑time inference.
- Perform data acquisition, cleaning, and feature engineering from sensor data, CAD files, and manufacturing logs.
- Validate model performance, conduct root‑cause analysis, and iterate improvements to meet aerospace quality standards.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, Mechanical Engineering, or related field with strong AI/ML focus.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Experience building and deploying models for computer vision or predictive maintenance in an industrial setting.
- Familiarity with cloud services (AWS) for model hosting, data pipelines, and containerization.
- Strong problem‑solving skills, ability to work with large, complex datasets, and excellent communication with non‑technical stakeholders.
Skills
pythonmachine learningdeep learningdata analysiscomputer visionaws