Senior Architect, ML Engineering
Pune, Maharashtra, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect model serving for high throughput and low latency
- Build reliability patterns for dependency failure
- Define GPU orchestration and capacity strategy on Kubernetes
- Define architecture standards for multi tenant isolation and service boundaries
- Define document ingestion and index lifecycle strategies
- Define observability strategy for LLM calls and agent tools
- Define secure by default patterns for secrets data protection and audit logs
- Design platform controls for rate limiting caching and backpressure
- Design retrieval pipelines with hybrid retrieval and reranking
- Drive architecture reviews and mentor engineers
- Enable async event driven architectures for long running tasks
- Establish SLOs and production readiness standards
- Establish retrieval evaluation and regression frameworks
- Lead build vs buy and model strategy decisions
- Own end to end architecture for RAG and agent workflows
- Own guardrail architecture for prompt injection defense and tool safety
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Async Programming | Azure | Circuit Breakers | Cloud platform | Datadog | Docker | Event Driven | Event-driven architecture | GDPR | Google Cloud | Google Cloud Platform | Grafana | Hybrid retrieval | Kafka | Kubernetes | OCR | OpenTelemetry | PII Redaction | Prometheus | Pydantic | Python | Query rewriting | RabbitMQ | Redis Streams | Reranking | Retrieval-Augmented Generation | SOC 2 | TGI | Temporal | Torchserve | Triton | VLLM | Vector Databases
Education
N/A
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