Analyst - AI/ML - CAE

Role & responsibilities

* Programming: Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) *ML Algorithms: Regression, Classification, Deep Learning, Model Evaluation *Data Handling: Cleaning, Preprocessing, Feature Engineering, Large Datasets * Software Engineering: Git, Testing, (CI/CD a plus) * Collaboration: Strong communication and teamwork skills to work with cross-functional engineering teams.

Automotive Brake Systems: Basic understanding of how brake systems function and key performance metrics.
CAE Principles: Familiarity with computer-aided engineering concepts and simulation methodologies, with a high-level understanding of tools like Abaqus or Ansys.

Develop and implement machine learning models to automate and enhance CAE processes for automotive brake systems. Collaborate with CAE engineers to identify opportunities for ML applications, analyze simulation and test data, and validate models against experimental results to improve accuracy and efficiency.

Preferred candidate profile

Perks and benefits