Artificial Intelligence Infrastructure Developer

1 week ago

Nashik, Maharashtra, India beBeeMlops Full time ₹ 1,80,00,000 - ₹ 2,30,00,000
Senior MLOps Engineer

We are looking for a seasoned Senior MLOps Engineer to spearhead the development and implementation of our artificial intelligence infrastructure.

  • Design, implement, and scale ML pipelines for LLMs, CV, and multimodal models.
  • Lead efforts in model serving, versioning, automated 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 (≤10% false positives), and data-management best practices.
  • Integrate vector databases for low-latency semantic retrieval, and build agentic workflows using LangChain or similar frameworks.
  • Architect RBAC-driven, isolated ML services to securely serve multiple organizations.
Key Responsibilities
  • Core MLOps Pipelines
  • Model Serving & CI/CD
  • Inference-as-a-Service
  • Governance & Drift Detection
  • Vector Search & Agent Orchestration
  • Enterprise Multi-Tenancy
Requirements
  • 9–14 years in software engineering, including ≥ 4 years in MLOps or ML infrastructure
  • Strong expertise in cloud platforms, 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

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