Education Requirements:

• Bachelor’s degree in computer science or equivalent in related technical experience

Experience Requirements:

• Hands on experience in building large-scale data architecture systems

• Hands on experience managing people and distributed teams

• Excellent programming with Python or C#

• Abundant knowledge on large scale distributed systems

• Experience with a modern deep learning framework such as PyTorch or Tensorflow is a plus

Responsibilities:

• Provide technical leadership and direction for software engineer and AI engineer teams

• Design and build modern enterprise data architectures and data abstraction service layers

• Design and build cloud applications with high security, high transaction rate and high availability

• Design and build test harnesses to evaluate product progress and accuracy

• Work with customers to clarify requirements and deliver business solutions Design and build sophisticated machine learning automated test harnesses Write system specification documents such as Concept of Operations (CONOPS), system level requirements, and Interface Control Documents (ICD) for complex systems Present at weekly demos and various sessions Build things

Experience Requirements:

• Hands on experience with Azure cloud implementation and deployments

• Hands on experience with at least one programming language such as Python, C#, or Java

• Experience with modern CI/CD tools such as GitLab, Jenkins or Azure DevOps

• Azure Administrator, Azure Solutions Architect, Azure Developer, or Azure DevOps Engineer Certification is a big plus

Responsibilities:

• Implement and modernize cloud applications and technical solutions using the combination of Azure IaaS, PaaS, serverless services, or microservices patterns

• Design, develop, test, and debug Azure cloud solution components

• Build and manage container apps using products like AKS, Kubernetes, and Docker

• Develop automation for deployment, management, and administration processes

• Design, develop and implement data collection, transformation, and data integration solution for analytics Present at weekly demos and various sessions Build things

Education Requirements:

• Bachelor’s degree in artificial intelligence, math, statistics, physics, economics, computer science, or equivalent in related technical experience

Experience Requirements:

• Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism)

• Coding proficiency in at least one modern deep learning framework such as PyTorch or Tensorflow

• Hands-on programming experience with Python

• Experience with hardware accelerators (e.g. GPU) is a plus

• Experience in optimizing deep learning training and inference is a plus

Responsibilities:

• Learn new domains and problems

• Experiment with models and data

• Collaborate with other experts

• Develop reference and production implementation of models and pipelines

• Present at weekly demos and various sessions Support production engineering teams and develop automated tests Build things