Responsibilities

• Architect & develop and train deep learning models for knowledge extraction, entity matching, entity resolution, reinforcement learning, knowledge base extraction.

• Architect, debug, and improve deep learning models.

• Improve the accuracy of existing machine learning systems

• 2+ years of industry experience

• Participate in team discussions, presentations.

Requirements

• Masters or PhD in Computer Science or equivalent

• Experience in implementing deep learning methods and algorithms, in computer vision and/or NLP

• Experience optimizing machine learning benchmarks to competitive levels of accuracy

• 2+ years of industry experience

• Experience with TensorFlow/Pytorch/Keras, AWS/GCP/Azure, Python

• Experience in writing algorithms for speed and scalability

Preferred Skills

• Experience with learning in distributed systems, containerization, etc.

• Published research in NLP & CV areas