GCP Gemini AI Developer
Tasks
- Apply prompt engineering and parameter tuning
- Build serverless APIs for AI workflows
- Design and deploy Gemini based solutions
- Develop data ingestion and preprocessing pipelines
- Implement retrieval-augmented generation pipelines
- Integrate AI into business workflows
- Maintain security privacy and model governance
- Monitor models and improve performance
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AI Studio | App Engine | BigQuery | BigQuery ML | CI/CD | Cloud Build | Cloud Functions | Cloud Run | Dataform | FastAPI | Flask | Gemini API | Generative AI | Generative AI Studio | GitHub Actions | Google Cloud | IAM | Jupyter | Langchain | Llamaindex | Matching Engine | Model Monitoring | Model Registry | Node.js | Pandas | Pinecone | Prompt engineering | Pub/Sub | Python | Retrieval-Augmented Generation | SQL | Secret Manager | Terraform | TypeScript | Vector Databases | Vertex AI | Vertex AI pipelines | Vertex Matching Engine | Weaviate
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | GCP Developer | Learning Engineer | Machine Learning Engineer
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