Description

You will design, develop, and optimize deep learning training and inference frameworks, including distributed algorithms and computational graph transformations.

This role is on-site.

Responsibilities

• Build and optimize deep learning software primitives and math libraries.
• Implement distributed algorithms, including model/data parallel frameworks and parameter servers.
• 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 comprehensive testing.

Required Skills

• 3+ years of Python experience.
• 2+ years of software development experience with the React framework.
• 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.
• Experience automating ETL using job scheduling tools like Autosys.
• 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