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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 13th Sep 2024

• 4+ years of professional ML engineering experience at an AI/ML-focused organization. 
• Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision. 
• Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP. 
• Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management. 
• Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management. 
• An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.