AI/ML Systems Engineer
Core
Design, train, and deploy custom AI/ML models and data systems to enhance turbomachinery performance prediction and accelerate simulation workflows.
Role type
Senior IC machine-learning engineer (turbomachinery/aerodynamics)
Builds
Production ML models, scalable data pipelines, and integrated engineering toolchains for compressor/turbine development
Domain
Aerospace engineering + Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, SQL, ETL pipelines, neural networks (NNs, CNNs), numerical optimization, probability theory, data structures
Preferred skills
Aerodynamics, turbomachinery, CFD, physics-based engineering systems
Technologies
PyTorch, TensorFlow, Azure Data Factory
Responsibilities
Design and deploy ML models for performance prediction; build structured data systems for geometry/CFD/test datasets; integrate models into CFD/FEA workflows; execute model validation against test data; develop reusable ML frameworks
Seniority
Senior, hands-on IC