AI Solution Development : Responsible for providing intelligent solutions to manufacturing and business problems using machine learning, deep learning, and generative AI methodologies.
R&D Innovation : Analyze and prototype new AI technologies and frameworks to solve complex challenges, staying at the forefront of industry trends.
Infrastructure for AI : Manage and optimize the specialized IT infrastructure and GPU-accelerated environments needed to train and deploy large-scale AI models.
Testing & Model Validation : Develop and perform rigorous tests on AI applications, including data validation, model performance benchmarking, and troubleshooting bias or accuracy issues.
CI/CD for Machine Learning (MLOps) : Implement and support MLOps pipelines to automate the training, versioning, and deployment of models (Continuous Integration ...
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