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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