AI Engineer
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect and implement ML and GenAI systems
- Build MLops pipelines
- Create secure microservices for AI models
- Design and deliver enterprise AI ML solutions
- Develop RAG workflows embeddings and vector indexes
- Embed AI ethics regulatory and security controls
- Implement RBAC ABAC and audit logging
- Implement automated testing and model lifecycle management
- Mentor engineers and drive technical standards
Perks/Benefits
Skills/Tech-stack
ABAC | Airflow | Audit Logging | Azure DevOps | CI/CD | Composer | Docker | Embeddings | Evidently | FastAPI | Feast | Feature Store | GCP Vertex | GCP Vertex AI | GitHub | Grafana | Key Management | Key Management Service | Key Vault | Kubeflow | Kubernetes | Langchain | Llamaindex | MLflow | Masking | Microservices | Model Evaluation | OpenTelemetry | Policy-as-Code | Prometheus | Python | RAG | RBAC | SQL | Tokenization | TruLens | Vector Databases | Vector indexes | Vertex AI | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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