Job Description

Responsibilities:

  • Train and evaluate ML/DL models for classification, regression, or computer vision tasks.
  • Prepare and process structured and unstructured datasets (design files, simulations, time-series, sensors).
  • Prototype solutions such as anomaly detection, surrogate modeling , or recommendation systems.
  • Automate workflows using Python and common ML libraries.
  • Collaborate with senior engineers to integrate ML into larger systems and tools.
  • Learn and support advanced areas like reinforcement learning, optimization, and generative design.
  • Document experiments, findings, and best practices.

Requirements:

  • Bachelor degree in Computer Science, Data Science, or related field.
  • 2 to 3 years of experience in AI/ML development.
  • Proficiency in Python with exposure to ML/DL frameworks ( PyTorch , TensorFlow, scikit-learn).
  • Strong foundation in ML concep...

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