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Software Systems Engineer
Accelerate AI transformation with experienced engineering teams that deliver custom computer vision, NLP, and predictive systems to achieve faster time-to-value.
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
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Azure Cloud Architect
Accelerate AI transformation with experienced engineering teams that deliver custom computer vision, NLP, and predictive systems to achieve faster time-to-value.
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
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AI Engineer
Accelerate AI transformation with experienced engineering teams that deliver custom computer vision, NLP, and predictive systems to achieve faster time-to-value.
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
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