ML Ops Engineer

1 week ago


New Delhi, India Maaze Underwriting Solutions Pvt. Ltd Full time

About the RoleWe are seeking an experienced MLOps Engineer to design, build, and maintain scalable machine learning infrastructure with strong focus on Azure cloud ecosystem. You will deploy and optimize ML/AI models in production, with emphasis on GPU-accelerated workloads and large language models. Key Responsibilities Design and implement MLOps pipelines usingKubeflowandKServefor model deployment and serving Deploy and manage production ML models on Kubernetes withNVIDIA GPUacceleration Optimize model inference usingvLLM, TensorRT-LLM, Triton Inference Server, andPyTorch Dynamo Implement auto-scaling usingKEDA, HPA, andAzure Cluster Autoscaler BuildCI/CD pipelinesusingAzure DevOpsfor automated ML model deployment ManageAzure infrastructure(AKS, Azure ML, Container Registry) using IaC (Terraform/ARM/Bicep) Implement monitoring and observability usingPrometheusandGrafana PerformLinux system administrationand optimize containerized workloads Deploy and manageLLMapplications withOpenAI APIand Azure OpenAI services Monitor GPU utilization, model performance, and implement drift detection Build RAG systems and manage vector databases for LLM applications


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