SphereOI
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About
SphereOI is an AI engineering company offering a range of services including AI engineering, data activation, development, and advisory. They specialize in computer vision, natural language processing, and autonomous systems. Their expertise spans various sectors, from enterprise solutions and new product development to vertical innovation, working with clients in healthcare, security, manufacturing, aerospace, supply chain, defense, agriculture, and more. They emphasize speed and execution, Lean Production principles, and neural-network engineering. SphereOI also provides consulting services for AI roadmaps and industry insights, and actively recruits for various AI and cloud-related roles.
Platform
Task
Features
• analytics
• computer vision
• data activation
• ai engineering
• development
• autonomous systems
• natural language
• advisory
Job Opportunities
Software Systems Engineer
SphereOI is an AI engineering company providing services across various sectors, from AI strategy to building AI for operations, with expertise in computer vision, natural language, and autonomous systems.
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
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Azure Cloud Architect
SphereOI is an AI engineering company providing services across various sectors, from AI strategy to building AI for operations, with expertise in computer vision, natural language, and autonomous systems.
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
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AI Engineer
SphereOI is an AI engineering company providing services across various sectors, from AI strategy to building AI for operations, with expertise in computer vision, natural language, and autonomous systems.
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
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