Software Engineer - (Machine learning Platform)
Bengaluru, Karnataka, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build agent runtime environment
- Build knowledge graph and entity resolution
- Build standardized ML pipelines
- Create developer SDKs templates and documentation
- Define and monitor model reliability SLOs
- Deliver observability for platform services
- Design LLM gateway and control plane
- Design agent orchestration workflows
- Design model evaluation and governance frameworks
- Develop ML training deployment and inference infrastructure
- Develop unified APIs and SDKs
- Enable hybrid retrieval with graph databases vector search and keyword search
- Implement LLM security and privacy controls
- Implement autoscaling and cost optimization
- Implement data ingestion and transformation pipelines
- Implement human in the loop approval
- Implement model drift detection and retraining
- Integrate multi model multi provider LLM routing
- Manage model registries versioning and approvals
- Monitor agent performance and reliability
- Support online and batch inference
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AWS | Airflow | B testing | CI/CD | Distributed Systems | Entity Resolution | Experiment tracking | Feature Engineering | Feature Store | GRPC | Graph Databases | GraphQL | Kafka | Knowledge graphs | Kubeflow | Kubernetes | LLM | LLM Gateway | MLOps | MLflow | Machine Learning | Model Registry | Neo4j | Orchestration | Python | REST APIs | Retrieval-Augmented Generation | Shadow Deployments | Spark | Vector Databases
Education
N/A
Roles
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