AI Infrastructure Architect

1 day ago

Bikaner, Rajasthan, India beBeeMLOps Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior MLOps Engineer

As a Senior MLOps Engineer at our company, you will lead the end-to-end design, implementation, and scaling of AI infrastructure. We seek a strategic individual to work on cutting-edge projects that integrate machine learning models into production environments.

Key Responsibilities:
  • Design and implement scalable ML pipelines for large language models (LLMs), computer vision, and multimodal models.
  • Lead efforts in model serving, versioning, automated continuous integration and delivery (CI/CD), and real-time monitoring of AI workflows.
  • Build and optimize GPU-backed serving infrastructure targeting p99 latency < 100 ms, 99.9% uptime, and > 80% GPU utilization.
  • Drive initiatives on model governance, automated drift detection ( 80% utilization.
  • Partner with AI researchers, product managers, and legal teams to align MLOps standards with compliance and roadmap goals.
  • Mentor junior engineers, run quarterly brown-bags, own onboarding documentation (upskill 5+ engineers/quarter), and publish ≥ 1 open-source contribution or talk annually.
Requirements:
  • 9–14 years in software engineering, including ≥ 4 years in MLOps or ML infrastructure.
  • Strong expertise in cloud platforms (AWS/GCP/Azure), Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow.
  • Experience with inference frameworks (Triton, TensorFlow Serving, BentoML, TorchServe).
  • Familiarity with distributed training, workload schedulers, and GPU-cluster orchestration.
  • Proficiency in Python, TypeScript, and infrastructure-as-code (Terraform, Helm, etc.).
  • Proven track record building reliable, scalable ML systems in production.
  • Plus These Critical Skills:
  • Vector DB integration (Qdrant, Pinecone)
  • Agent orchestration (LangChain, LlamaIndex)
  • Multi-tenant security and RBAC
  • Observability stacks (Prometheus/Grafana, ELK)
  • CI/CD for FastAPI/NestJS services

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