Type: Contract W2 (NO C2C/NO Hourly Referral)
Workplace: Hybrid
Duration: 6 Months
FEA Engineer / Software Engineer / Machine Learning Engineer
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 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).
