AI/ML Engineer

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.