Description

You will design and develop software to build and optimize deep learning training and inference frameworks.

Responsibilities

• Build and optimize deep learning software and primitives in math libraries.
• Implement distributed algorithms including model/data parallel frameworks, parameter servers, and asynchronous data communication.
• Transform computational graph representations of neural network models.
• Develop new business functionality to meet specific customer requirements.
• Maintain software stability through documentation, code reviews, and unit, regression, and user acceptance testing.

Required Skills

• 3+ years of Python experience.
• 2+ years of software development experience with the React framework.
• Experience automating ETL using job scheduling tools like Autosys.
• Proficiency with Linux operating systems.
• Extensive knowledge of Docker and Kubernetes.
• Deep understanding of Machine Learning and Deep Learning algorithms.
• Solid grasp of application design concepts.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Preferred Skills

• Practical experience with Service Oriented Architecture, Microservices, and API Gateways.
• Experience working within an Agile environment.

Key Skills

Education

Any Graduate