MLOps / Cloud Deployment Engineer
INR 3000K-5500K (estimate) Senior-level Contract Full Time
Tasks
- Build model governance and safety guardrails
- Conduct prompt injection risk mitigation
- Deploy and operate AI workloads on cloud native ML platforms
- Implement evaluation frameworks for production AI systems
- Implement observability tracing and monitoring for LLM and agentic systems
- Maintain security posture with RBAC and secrets management
- Manage infrastructure as code for AI ML environments
- Optimize cloud costs and performance for AI workloads
- Own CI CD pipelines for ML and GenAI systems
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS SageMaker | Adversarial Testing | Azure AI | Azure AI Foundry | Azure Machine Learning | Azure OpenAI | Bash | CI/CD | Cost monitoring | Docker | Drift Detection | Evaluation | GCP | Hallucination Monitoring | Infrastructure scripting | Kubernetes | Latency optimization | ML pipelines | MLflow | Machine Learning | Model Governance | Model versioning | Monitoring | Observability | Prompt injection | Prompt injection mitigation | Python | RBAC | Regression testing | Secrets management | Terraform | Tracing | Vertex AI
Education
N/A
Roles
Cloud Deployment Engineer | Cloud) | Deployment Engineer | Engineer | MLOps Engineer
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