Mathematical Software Engineer

Job description

Job Summary:

We’re looking for professionals who are passionate about AI, advancing science, and building the next generation of intelligent machines.  Our ambitious AI research agenda is both broad and deep, with leading edge projects in machine learning, deep reinforcement learning, brain-inspired algorithms, learning with memories, knowledge representation and reasoning, symbolic and trainable logic, causal inference, knowledge induction, computer vision, NLP, question answering, and quantum and neuromorphic architectures for next generation AI.

You will work on the most cutting-edge, exciting projects and you will help to design and implement state of the art intelligent systems that will impact the Industry best practices and our delivery of services. You will interact with multiple teams and will help translate research ideas or algorithms to codes and into scalable, robust systems. We want to bring out the best in you and expect you to do the same to us.  Your proactive approach to creative problem solving will be essential to the success of our team and the firm

 

Job Requirements:

 

·  5+ years’ experience as a professional software engineer in an agile software development environment
·  3+ years’ experience with modern software development methods and tools: Continuous integration, code reviews, scrum, Kanban, continuous deployment, cloud (Azure preferred)
·  3+ years’ experience developing in Python
·  Experience with deep learning and neural networks, including experience with scientific libraries like Tensorflow, Keras or Theano will be an added advantage
·  Master’s degree in Computer science OR Graduate degree in Engineering OR other mathematical discipline from top tier Universities/Colleges
·  Should be motivated and creative along with the ability to work with cross border teams. Prepared to challenge status quo with innovative technology concepts.