Benefits:

• CMMC Compliant

• High-security facilities

• Secure and compliant support to federal programs and priorities

Education Requirements:

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

Experience Requirements:

• Leadership experience on large multi-element system-of-systems engineering projects covering the full lifecycle

• 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

Other Requirements:

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

• Familiarity with cloud architectures and implementations is a plus

• Familiarity with data architectures and data analysis is a must

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

Benefits:

• CMMC Compliant

• High-security facilities

• Secure and compliant support to federal programs and priorities

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

Other Requirements:

• 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 Azure services

• 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

Benefits:

• CMMC Compliant

• High-security facilities

• Secure and compliant support to federal programs and priorities

Education Requirements:

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

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

Other Requirements:

• 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