Data Platform QA Engineer ensuring quality, reliability, and integrity for Tecsys's cloud - based data platform built on Databricks and AWS. Collaborating closely with Data Platform Developers and Product Owners in Agile environments.
About the role
- AI Model Testing Engineer at CoVet designing and maintaining testing pipelines and collaborating with medical teams. Focused on enhancing AI models for veterinary applications.
Responsibilities
- Design, develop, and maintain testing pipelines and logic primarily focused on transcription models, while also covering other AI models such as LLMs and real-time inference models.
- Collaborate closely with the veterinary medical team to translate clinical scenarios into structured transcription and AI model test cases.
- Implement frameworks for comparative analysis, allowing veterinarians to systematically review and select optimal AI outputs.
- Balance and optimize accuracy, quality, speed, and cost-efficiency of AI model usage.
- Manage end-to-end infrastructure for AI model testing and experimentation, ensuring scalability and reliability.
- Continuously identify creative solutions to enhance AI performance and usability based on testing feedback and outcomes.
Requirements
- Demonstrable experience building and shipping software or projects that incorporate AI models (LLMs and/or transcription models), with specific examples of past work.
- Experience or familiarity with AI model integration.
- Proficiency with Node.js and TypeScript.
- Familiarity with APIs from providers such as OpenAI, Google, or Anthropic.
- Excellent problem-solving skills with a scrappy, innovative mindset—able to devise effective solutions under resource constraints.
- Strong collaboration and communication skills to effectively partner with cross-functional teams, including medical professionals.
Benefits
- Flexible remote work environment, with optional office presence at our HQ in Waterdown, Ontario.
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