Conversational Analytics Engineer - GCP
Tasks
- Apply MLOps best practices for production
- Build and integrate analytical agents into applications
- Communicate technical concepts to stakeholders
- Design and build scalable data solutions
- Develop and deploy ML and AI solutions
- Implement model evaluation frameworks
- Lead client conversations for data and analytics solutions
- Orchestrate APIs for integration
- Translate business challenges into data and AI solutions
Perks/Benefits
- Career advancement
- Hybrid work options
- Professional development programs
- Remote work options
- Training programs
Skills/Tech-stack
API Integration | API Orchestration | Agentic AI | Artificial Intelligence | BigQuery | Cloud platform | Embeddings | Gemini | Git | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Python | Retrieval-Augmented Generation | SQL | Version control
Education
N/A
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