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Embark on a transformative career as a Deep Learning Engineer with us, where you'll architect, refine, and deploy sophisticated neural network models aimed at revolutionizing energy forecasting, classification, and control. Your expertise in developing deep learning architectures such as CNNs, RNNs and Transformers will be pivotal in maneuvering through complex energy data. Through rigorous training, evaluation, and enhancement of models alongside adept optimization via hyperparameter tuning, you'll strive for superior model performance. Your role extends to deploying GPU-accelerated models to edge devices, ensuring real-time actionable insights. Staying abreast of the contemporary research and tools in deep learning will be your compass in navigating the ever-evolving landscape of deep learning technologies.


On-Site/ Remote



What You'll Do

  • Develop deep learning architectures like CNNs, RNNs and Transformers

  • Train, evaluate and enhance deep learning models on energy data

  • Optimize model performance using techniques like hyperparameter tuning

  • Deploy GPU-accelerated models to edge devices

  • Keep up-to-date with the latest deep learning research and tools

Design awesome neural networks like a boss

A neural network whisperer who designs brains for machines.

Who You Are

  • Hands-on experience training and deploying deep neural networks

  • Expertise in Python and deep learning frameworks like TensorFlow/PyTorch

  • Strong grip on AI/ML with emphasis on deep learning methods

  • Resourcefulness in overcoming challenges like overfitting

  • Passion for staying on top of DL research and translating it into solutions

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