MLOPS Architect

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profile Job Location:

Jersey City - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

  • Document architecture workflows and best practices for knowledge sharing and compliance.
  • Provide technical oversight & Guidelines
  • Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI.
  • Design scalable infrastructure for training deploying and monitoring ML and LLM models in production.
  • Collaborate with data scientists and engineers to streamline model development testing and deployment workflows.
  • Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.
  • Ensure model governance versioning and reproducibility using tools like MLflow and Azure DevOps.
  • Promote DevSecOps practices ensuring security and compliance are embedded in the ML lifecycle.
  • Monitor and troubleshoot production ML systems ensuring high availability and performance.
  • Experience with Azure Machine Learning Azure OpenAI Azure DevOps and AKS.
  • Proficiency in Python Docker Kubernetes and CI/CD pipelines.
  • Experience with LLM fine-tuning prompt engineering and model deployment.
  • Familiarity with MLflow Terraform and monitoring tools like Prometheus/Grafana.
Document architecture workflows and best practices for knowledge sharing and compliance. Provide technical oversight & Guidelines Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI. Design scalable infrastructure for training deploying and...
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Key Skills

  • APIs
  • Pegasystems
  • Spring
  • SOAP
  • .NET
  • Hybris
  • Solution Architecture
  • Service-Oriented Architecture
  • Adobe Experience Manager
  • J2EE
  • Java
  • Oracle