REQ ID – 33807056
ROLE – Machine Learning Engineer
LOCATION – Cupertino - Hybrid
MAIN SKILLS – Experience working in an AWS Cloud environment, Proficiency in Python, Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow, Experience with FEA software (e.g., Abaqus) and scripting, 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
Required Skills:
- Proficiency in Python
- Strong experience in ML 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 ML 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).
Responsibilities:
- Develop data pipelines from simulation results to ML datasets
- Deploy ML 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.