AI Infrastructure Architect

3 days ago


Alleppey, Kerala, India beBeeMLOps Full time ₹ 20,00,000 - ₹ 25,00,000

Award-winning MLOps Engineers design, implement, and scale our AI infrastructure.

About the Role
  • Lead end-to-end design of ML pipelines for LLMs, CV, and multimodal models to deliver production services meeting strict latency, reliability, and cost efficiency requirements.
  • Develop model serving, versioning, automated CI/CD, and real-time monitoring strategies for AI workflows.
  • Build scalable GPU-backed serving infrastructure targeting p99 latency < 100 ms, 99.9% uptime, and > 80% GPU utilization.

Prioritized Responsibilities:

  1. Design and develop automated drift detection (≤10% false positives) and data-management best practices.
  2. Integrate vector databases for low-latency semantic retrieval and build agentic workflows using LangChain or similar frameworks.
  3. Architect RBAC-driven, isolated ML services to securely serve multiple organizations.
  4. Maintain CI/CD pipelines for Python (FastAPI) and TypeScript (NestJS) inference services.

Success Metrics:

  • Define and track SLAs/SLOs.
  • Optimize cloud spend by ≥ 20% year-over-year.
  • Mentor junior engineers.
  • Own onboarding documentation and publish open-source contributions.
About Our Team

We're a dynamic team looking for innovative solutions to drive business growth through cutting-edge technologies.



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