Machine Learning Engineer
Indexed description
Core & Fundamentals
7+ Years of Experience
- Advanced Python: async/await, type hinting, and decorators.
- GCP Serverless: Containers and deployment on Cloud Run.
- Enterprise Security: Cloud IAM, principle of least privilege, and full OAuth lifecycles.
- Consulting Skills: Fluent English, client expectation management, and translation of technical requirements.
- API Integration: Resilient integrations, error handling, and robust authentication.
- Data Orchestration: Pipeline management (data flows) using Cloud Workflows or BigQuery.
- GenAI Fundamentals: Basic understanding of LLM mechanics and basic prompt structuring.
- Google ADK: Workflow creation with the Google Cloud Agent Development Kit.
- Gemini Enterprise: Agent runtime: Deployment and management of generative workloads.
- Enterprise Integration: Using the Model Context Protocol (MCP) to connect with SaaS platforms.
- Advanced Prompting: Enforcing deterministic outputs and orchestrating tool-calling.
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