At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll Do
In this role you will…
- Define evaluation frameworks for AI agents (precision, recall, correctness, robustness)
- Perform error analysis on AI outputs (SQL generation, mappings, data products)
- Build and curate training and evaluation datasets (golden sets, edge cases, benchmarks)
- Design and tune model/prompt strategies for improving agent performance
- Establish quality metrics for:
- Data quality agents
- Data modeler / engineer agents
- Mapping and enrichment workflows
- Analyze and validate AI-generated artifacts:
- SQL queries
- Data models
- Data product outputs
- Collaborate with AI Engineers to close the loop between evaluation improvement
Who You’ll Work With
On our team, we…
- Are part of Teradata’s global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.
- Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.
- Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
- Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
- This position reports into the Knowledge & Autonomous Platform engineering leadership team within Teradata’s global engineering organization.
What Make
📌 Senior Applied Data Scientist (Airoli)
🏢 Teradata
📍 Airoli
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