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AI Infrastructure Architect

2 weeks ago


Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description

We are seeking an experienced MLOps Engineer to lead the design, implementation, and scaling of our AI infrastructure.

The ideal candidate will have a strong background in cloud platforms, Kubernetes, and distributed training, with experience building reliable and scalable ML systems in production.

  • Design and implement scalable 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 and 80% GPU utilization.

Requirements:

  • 9+ 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).

Benefits:

  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.