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MLOPS Architect

Salary undisclosed

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Looking for EST consultants only

  • Overall Experience of 12-15 Yrs Experience supporting machine learning projects.
  • Expert with ML platforms (e.g., TensorFlow, PyTorch).
  • Experience with cloud platforms (e.g. Azure).
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Experience with big data tools (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).
  • Knowledge of machine learning concepts and workflows.
  • Strong programming skills (e.g., Python, Java).
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication skills to effectively collaborate with other teams.
  • Design and optimize pipelines for model deployments in production environments using containers (Docker or Azure Kubernetes), Azure DevOps and/or MLOps and Azure Data Factory.
  • Knowledge of Azure Databricks pipeline and ML Model deployment is mandatory.
  • Implement efficient microservices frameworks i.e. API Management, message broker, load balancing, etc
  • Troubleshoot, improve, and scale continuous integration, continuous delivery, and continuous deployment (CI/CD) pipelines
  • Write design documents to build consensus for new systems components and enhancements to existing components
  • Extensive programming experience in Python and/or R with knowledge of Object-Oriented Programming.
  • Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
  • Demonstrated history of designing solution pipelines from conception to deployment in production environments e.g. Docker containers on Kubernetes-based platforms with data orchestration in Azure Data Factory
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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