Technical Support Specialist at Shakudo

Toronto, Ontario, Canada

Shakudo Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, DataIndustries

Requirements

Candidates should possess 1-3 years of experience in technical support, IT HelpDesk, or a related customer support role, with a strong understanding of AI, DevOps, or cloud-native technologies. Proficiency in troubleshooting containerized environments using Kubernetes and Docker is required, along with experience in providing technical support in cloud environments such as AWS or Azure. Familiarity with AI/ML workflows, including frameworks like TensorFlow, PyTorch, MLflow, and tools for API integrations is also necessary.

Responsibilities

The Technical Support Specialist will be responsible for responding promptly to customer queries related to Shakudo’s AI & Data Platform, including platform setup, deployment, AI/ML workflows, data pipelines, integrations, and system performance. They will maintain accurate records of customer issues and troubleshooting steps, escalate issues to internal teams as needed, and provide clear, concise, and professional technical support via written communication platforms. The role involves specializing in several areas of the Shakudo platform, such as platform deployment, Kubernetes, Docker, AI/ML workflows, data pipelines, storage, integrations, and system performance monitoring, while also collaborating with engineering and product teams to resolve recurring issues and maintain technical documentation.

Skills

Kubernetes
Docker
MLflow
OpenAI
Postgres
NoSQL
MinIO
Prometheus
Grafana
DevOps
AI/ML workflows
data pipelines

Shakudo

End-to-end platform for AI projects

About Shakudo

Shakudo offers a platform designed to support organizations in developing and managing AI and data-intensive products. Their main product, the Hyperplane platform, facilitates the entire workflow of AI projects, from initial ideas to deployment. It automates the optimization of resources, helping teams select the best configurations without the need for complex setups. This makes it easier for data scientists and AI teams to focus on building and maintaining their models efficiently. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing, allowing organizations to choose the level of access that suits their needs. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI projects more quickly and reliably.

Toronto, CanadaHeadquarters
2021Year Founded
$9.8MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established AI platform providers like DataRobot.
Potential customer resistance due to learning curve and integration challenges.
Rapid AI advancements may outpace Shakudo's platform updates, risking obsolescence.

Differentiation

Shakudo offers a unique compatibility across best-of-breed data tools.
Their Hyperplane platform automates resource optimization for AI projects.
Shakudo provides DevOps-friendly GraphQL APIs for seamless AI solution interaction.

Upsides

Increased demand for AI model interpretability tools enhances Shakudo's platform.
Rise of AI model marketplaces boosts Hyperplane's user engagement and revenue.
Growing trend of federated learning aligns with Shakudo's data stack compatibility.

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