AI/ML Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply IAM security practices
- Apply Responsible AI safety prompts and filters
- Build RAG pipelines
- Build agent tools and planners
- Build and use Vertex AI workflows
- Collaborate in design discussions and training
- Deploy services with Cloud Run
- Develop integrations for agentic systems
- Document code and workflows
- Handle data securely
- Implement GenAI workflows
- Implement error handling and retries
- Implement messaging with PubSub
- Implement observability with logs
- Improve code quality with feedback
- Manage secrets
- Perform code reviews
- Process data with BigQuery
- Store and manage files with Cloud Storage
- Write unit tests
Perks/Benefits
Skills/Tech-stack
Agent Loops | Agentic AI | BigQuery | Cloud Run | Cloud Storage | Cloud platform | Embeddings | Error Handling | Google Cloud | Google Cloud Platform | IAM | Logging | Memory Fundamentals | Observability | Prompt engineering | PubSub | Python | RAG | Retries | Retrieval-Augmented Generation | Secret management | Tool integration | Unit Testing | Vertex AI
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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