Manager, AI & Data Engineering
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103, India
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect secure integration patterns across enterprise systems
- Build and operationalize cloud native AI and ML solutions
- Define and enforce cloud security and governance controls
- Design and implement automation and orchestration workflows
- Design and implement scalable AI data and automation platforms on GCP
- Develop and govern AI agents and agent workflows
- Establish monitoring alerting logging and incident response for AI platforms
- Evaluate enterprise AI platforms and productivity tools
- Lead FinOps cost optimization and reporting
- Mentor engineers and define reusable engineering patterns
- Operationalize ML generative AI and agentic AI solutions with MLOps and LLMOps and AgentOps
Perks/Benefits
Skills/Tech-stack
APIs | AgentOps | Alerting | Audit Logging | BigQuery | CI/CD | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud Storage | Cloud logging | Cloud platform | Data Pipelines | Docker | Embeddings | Encryption | FinOps | Google Cloud | Google Cloud Platform | IAM | Incident Response | Infrastructure as Code | JavaScript | Kubernetes | LLMOps | MLOps | Model Evaluation | Monitoring | Prompt engineering | PubSub | Python | Responsible AI | Retrieval-Augmented Generation | Secrets management | Service accounts | TypeScript | VPC | Vector Search | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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