AI Solutions Developer - Continental Aerospace Technologies

Key Responsibilities

• Design, develop, and deploy machine learning models that optimize engine performance, fuel efficiency, and predictive maintenance.
• Collaborate with aerospace engineers to translate domain requirements into data pipelines and AI algorithms.
• Implement scalable cloud‑based solutions using AWS services for data storage, model training, and inference.
• Containerize applications with Docker and manage CI/CD pipelines to ensure reliable delivery and rapid iteration.
• Validate model outcomes through rigorous testing, simulation, and real‑world flight data analysis.

Requirements

• Strong proficiency in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
• Hands‑on experience building and deploying AI models in cloud environments, preferably AWS.
• Knowledge of containerization (Docker) and CI/CD practices for production‑grade AI systems.
• Background in aerospace, mechanical engineering, or a related technical field is a plus.
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced engineering team.