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FEA Engineer
3 months ago
Job Description:
- FEA Engineer / Software Engineer / Machine Learning Engineer
- We are seeking a skilled engineer to support product design and FEA development.
- The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training Client models, and a proven record of deploying models in relevant applications such as computer vision.
- The role will involve FEA data processing, organizing datasets, managing the lifecycle of Client models, documenting details, and communicating with cross-functional teams.
Responsibility:
- Develop data pipelines from simulation results to Client datasets
- Deploy Client models into production environment ensuring seamless integration with existing codebase.
- Experiment with new algorithms and tools to enhance model performance.
- Create detailed documentation of data processing, model architecture, and training/test results.
- Provide regular updates and reports.
- Education:
- Bachelor's degree in Computer Science, Data Science, Mechanical Engineering, or a related field.
- Master's degree or higher are preferred. A Ph.D. is a strong plus.
Required Skills:
- Proficiency in Python
- Strong experience in Client frameworks and libraries such as PyTorch or TensorFlow.
- Knowledge of FEA, including element technologies and material models.
- Solid understanding of deep learning architectures such as CNN, RNN, and transformers.
- Hands-on experience with large-scale data processing and analysis.
Preferred Skills:
- Experience in a specific Client application such as computer vision.
- Experience with FEA software (e.g., Abaqus) and scripting.
- Experience with cloud platforms (e.g., AWS, Google Cloud) for training and deployment.
- Familiarity with code collaboration and version control systems (e.g., Git).