Senior Software Engineer (Machine learning Platform Engineering )
Bengaluru, Karnataka, India
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Add observability traces logs metrics
- Build LLM control plane gateway
- Build templates CLIs sandboxes and documentation
- Build training and scoring pipelines for machine learning
- Create data ingestion pipelines
- Define SLOs and enable autoscaling and spend controls
- Design agent orchestration patterns and manage agent state
- Develop unified REST API and SDKs
- Enable multi model multi vendor LLM usage with canarying
- Enforce safety and privacy with content filtering and PII redaction
- Evolve domain graph and entity resolution
- Implement human in the loop review for safe actions
- Implement hybrid retrieval with graph vector and keyword search
- Implement smart routing and rate limits
- Maintain model agent registry and audit trails
- Monitor model and data drift
- Own agent runtime tool registry and function calling
- Perform retraining and model tuning
- Provide real time context with access controls and lineage
- Run offline and online evaluations for quality bias safety
- Standardize experiment tracking and packaging
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Airflow | Autoscaling | B testing | CI/CD | Concurrency | Data Drift | Data Drift Detection | Distributed Systems | Docker | Drift Detection | Feature Engineering | Flink | GRPC | Go | Graph retrieval | GraphQL | Human-in-the-loop | Hybrid search | Java | Kafka | Knowledge graphs | Kubeflow | Kubernetes | LLM Gateway | LLM routing | Logging | MLflow | Machine Learning | Metrics | Microservices | Milvus | Model Deployment | Model Evaluation | Neo4j | Observability | PGVector | Python | Qdrant | Quota Management | REST | Rate Limiting | Retrieval-Augmented Generation | SLO | Scala | Spark | The Loop | Token Accounting | Tracing | Vector Search
Education
N/A
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