Why This Role Stands Out
This hybrid role offers a fantastic opportunity to drive innovation in AI/ML by designing, training, and deploying cutting-edge deep learning models with PyTorch. You'll thrive here if you have a strong foundation in ML fundamentals and a passion for optimizing model performance, with ample chances for professional growth within a reputable global company. Apply now to leverage your expertise and contribute to impactful projects!
Quick Overview
Job Description
We are looking for a Senior AI/ML Engineer to join the ML & AI team, driving the design, training, and deployment of advanced deep learning models.
Responsibilities Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness Investigate and troubleshoot model performance issues, and iterate on models and techniques to continuously improve results Analyze how models map onto the client's devices through compilation steps and kernels Identify gaps in functionality and performance, and propose innovative solutions to mitigate any issues Deploy neural networks for various applications across different environments Apply machine learning fundamentals to ensure effective supervised and unsupervised learning outcomes Requirements 3+ years of experience in Python programming, with hands-on expertise in PyTorch for developing and training deep learning models Proficiency in designing, training, and deploying neural networks for various applications Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques Expertise in troubleshooting and optimizing model performance across diverse tasks and datasets English proficiency at B2 level or higher Nice to have Familiarity with C++ and kernel programming Knowledge of GPU/AI-accelerator architectures
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