MLOps Engineer

1 week ago


Hyderabad, Telangana, India Maaze Underwriting Solutions Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Role & responsibilities

  • Design and implement MLOps pipelines using Kubeflow and KServe for model deployment and serving
  • Deploy and manage production ML models on Kubernetes with NVIDIA GPU acceleration
  • Optimize model inference using vLLM, TensorRT-LLM, Triton Inference Server, and PyTorch Dynamo
  • Implement auto-scaling using KEDA, HPA, and Azure Cluster Autoscaler
  • Build CI/CD pipelines using Azure DevOps for automated ML model deployment
  • Manage Azure infrastructure (AKS, Azure ML, Container Registry) using IaC (Terraform/ARM/Bicep)
  • Implement monitoring and observability using Prometheus and Grafana
  • Perform Linux system administration and optimize containerized workloads
  • Deploy and manage LLM applications with OpenAI API and Azure OpenAI services
  • Monitor GPU utilization, model performance, and implement drift detection
  • Build RAG systems and manage vector databases for LLM applications

Preferred candidate profile

  • Azure certifications (AZ-104, AZ-400, AI-102)
  • Experience with MLflow or experiment tracking tools
  • Model optimization techniques (quantization, pruning)
  • Infrastructure as code expertise (Terraform preferred)
  • Open-source contributions to ML/MLOps projects

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