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bigquery python apis google cloud platform google gemini📋 Description
- Design, develop, and deploy production AI/ML systems with business impact.
- Build and maintain LLM-based apps using context engineering techniques.
- Collaborate with data scientists to productionize proofs of concepts.
- Integrate AI capabilities into products via APIs and microservices.
- Design evaluation frameworks to assess model accuracy and reliability.
- Monitor production performance and optimize based on usage.
🎯 Requirements
- Python: clean, modular, efficient code.
- GCP stack: BigQuery, Firebase, Vertex AI.
- Knowledge of Google Gemini, OpenAI, and Anthropic APIs.
- LLM evaluation methods for accuracy and hallucinations.
- Vector databases, semantic search, agent frameworks, MCP protocols.
- AI-assisted tools: Cursor, Claude Code, GitHub Copilot.
🎁 Benefits
- Equity in Syndio.
- Remote-first with local Calgary meet-ups.
- 20 days vacation, sick leave, and leave options.
- Pension contributions.
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