Machine Learning Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build and maintain MLOps infrastructure
- Build inference microservices with REST and gRPC
- Build resilient systems with autoscaling caching retries circuit breakers
- Convert prototypes to production machine learning services
- Create SDKs templates and deployment frameworks
- Deploy and optimize machine learning models
- Design CI CD pipelines for machine learning services
- Detect model drift and data quality issues
- Implement monitoring reliability and observability
- Implement online feature pipelines and feature stores
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Airflow | Audit Logging | Autoscaling | B testing | CI/CD | Caching | Circuit Breakers | Concurrency | Data Quality | Distributed Systems | Docker | Drift Detection | Experiment tracking | Fallback mechanisms | Feature Store | Flink | Function Calling | GRPC | Go | Graceful Degradation | Grafana | Java | Kafka | Knowledge Retrieval | Knowledge graphs | Kubeflow | Kubernetes | LLM Applications | Langchain | Llamaindex | MLOps | Microservices | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | Observability | OpenAI Function Calling | OpenTelemetry | PII protection | Prometheus | Python | RAG | RBAC | REST APIs | Retries | Retrieval-Augmented Generation | Scala | Scalable Software | Scalable software architecture | Secrets management | Shadow Deployments | Software Architecture | Spark | Testing | Vector Databases
Education
N/A
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