Practicus AI
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About
Practicus AI is a unified platform for Generative AI and Data Intelligence. It offers features such as generative AI model building and deployment on various environments (cloud, on-premises, air-gapped networks), a no-code/low-code AI studio for creating and deploying AI models, self-service data intelligence tools, including EDA, data preparation, AutoML, and instant AI APIs. The platform supports distributed machine learning with managed Jupyter Lab and VS Code. It also provides an open-source analytics platform, next-generation Lake House capabilities, and advanced observability tools for AI/ML performance monitoring. Practicus AI emphasizes cloud-native capabilities, open-source technologies, and robust security measures, including Enterprise SSO, centralized secret management, SBOM compliance, and secure GitOps.
Platform
Task
Features
• data preparation tools
• automl
• self-service data intelligence
• managed jupyter lab and vs code for data science projects.optimized for distributed machine learning
• instant ai apis
• exploratory data analysis (eda) tools
• no-code/low-code ai model creation and deployment
• generative ai model building and deployment
Job Opportunities
DevOps Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
3+ years experience working with Unix Linux systems from kernel to shell and beyond
3+ scripting experience in Shell and Python
2+ years of Kubernetes experience
Responsibilities:
Create, manage and integrate software to automate and secure Kubernetes environments
Develop solutions that can support large capacity and scale reliably, in a 24/7 environment
Collaborate with the Information Security and Software development teams to support operational capabilities
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Data Scientist
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
2+ years experience with real life classic Machine Learning experimentation
Production grade modeling experience
Responsibilities:
Supporting our customers with their data science experimentations
Delivering 100 level introduction to Data Scince training
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Data Engineer
Practicus AI is a unified platform for Generative AI and Data Intelligence, offering tools for model building, deployment, data analysis, and machine learning in a secure, scalable environment.
Experience Requirements:
2+ years experience with Python
Experience with Airflow or similar orchestration engines
Responsibilities:
Supporting our customers build their data pipelines using Practicus AI
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