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Machine Learning Engineer

2 months ago

Cupertino, United States netPolarity, Inc. (Saicon Consultants, Inc.) Full time

Job Title: Machine Learning Engineer

Duration: 6 months

Location: Cupertino, CA (hybrid)


**note- looking on W2 only**

Job Responsibility:

  • 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.


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).