Lead Engineer - Deep Learning

About the Role

We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.

Our client is a highly awarded AI and Machine Learning lab, which is disrupting the multi-billion dollar Agriculture and commodities business globally. They are recognized as a de-facto business for expert AI capability in solutions that satisfy real world challenges in near real time.

As the Lead Engineer - Deep Learning, you will be responsible for leading research, software implementation for new concept prototypes in the areas of computer vision and deep learning.

What you will do:

• Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team.
• Reading research papers and implementing state-of-the-art techniques for computer vision.
• Building and managing datasets.
• Providing Rapid experimentation, analysis, and deployment of machine/deep learning models.
• Based on requirements set by the team, helping develop new and rapid prototypes.
• Developing end to end products for problems related to agritech and other use cases.
• Leading the deep learning team.

What you need to have:

• MS/ME/PhD in Computer Science, Computer Engineering or equivalent.
• Proficient in Python and C++, CUDA a plus.
• International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++).
• Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch.
• Problem Solving: Deep learning development.
• Vision, perception, control, planning algorithm development.
• Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals.
• Good communication skills.