- 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.
📌 AI/ML Engineer (India)
🏢 simulationHub
📍 India
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