Harvey Nash has been engaged to find a talented Machine Learning Engineer in Cupertino CA for our Enterprise Client.
To be eligible, consultants must be local to Cupertino,able to work directly for Harvey Nash on a W2 basis, and not be Visa dependent (No C2C/C2H).
Duration: 6 months (Hybrid schedule)
- 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 ML 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 ML models, documenting details, and communicating with cross-functional teams.
- 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.
- Develop data pipelines from simulation results to ML datasets.
- Deploy ML models into production environment ensuring seamless integration with existing codebase.
- 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.
Thank you for your interest!
