🕒 3 days ago
This role focuses on developing training systems for Tinker, including RL systems and numerics, while collaborating with researchers to enhance AI customization capabilities.
Specialist, Engineering (Hybrid)
🕒 5 days ago
PythonSQLData EngineeringData Pipelines
📜 Description
- Support the design, build, and testing of governed agents and AI-enabled workflows.
- Contribute to agent lifecycle activities, including intake and deployment validation.
- Build and maintain data pipelines, curated datasets, and reusable data products.
- Develop and maintain dashboards, reports, and workflow automations.
- Create and execute test cases for agents, automations, and data pipelines.
- Use GitHub and disciplined software development practices for maintainable solutions.
🛠️ Requirements
- 2+ years of experience in data engineering, software development, or related technical role.
- Hands-on experience with Python and SQL for data transformation and analysis.
- Working knowledge of data pipelines, data modeling, and data quality checks.
- Exposure to Generative AI, Large Language Models, or AI-enabled automation.
- Experience using GitHub or comparable source-control systems.
Full job description
The Specialist, Digital Operations Agentic Intelligence plays a key role in enhancing data-driven decision-making through innovative AI solutions and data engineering practices.
Description
- Support the design, build, and testing of governed agents and AI-enabled workflows.
- Contribute to agent lifecycle activities, including intake and deployment validation.
- Build and maintain data pipelines, curated datasets, and reusable data products.
- Develop and maintain dashboards, reports, and workflow automations.
- Create and execute test cases for agents, automations, and data pipelines.
- Use GitHub and disciplined software development practices for maintainable solutions.
Requirements
- 2+ years of experience in data engineering, software development, or related technical role.
- Hands-on experience with Python and SQL for data transformation and analysis.
- Working knowledge of data pipelines, data modeling, and data quality checks.
- Exposure to Generative AI, Large Language Models, or AI-enabled automation.
- Experience using GitHub or comparable source-control systems.
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