ML Ops Engineer

Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
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IMPORTANT INFORMATION:

Role: Client Ops Engineer
Location: MIAMI, FL
Local Only: Yes Hybrid
Start date: Immediate availability
Background check MANDATORY
Request ID: 14180813

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• Understand the requirements for advanced analytics, including BI and Data Science, accordingly, deliver the Client Ops framework.
• Design and implement Client Ops for enabling platform for model deployments, creating model inference pipelines, managing model versions.
• Managing and maintaining Client Models in production environment. This will include providing the platform and configuration for Client Models, deployment support, monitoring.
• Building and managing deployment pipelines
• Monitoring model performance
• Managing model versioning
• Managing Client Infrastructure
• Client Algorithm and techniques
• Programming language such as Python, R, and Java
• Machine Learning frameworks such as TensorFlow, PyTorch etc.
• Skills to write efficient and scalable code for data processing, model training & deployment.
• Cloud computing platform experience (preferably in Azure)
• Cloud based Client Services (preferred Azure Client)
• Azure services, such as ADF, Azure Functions, Azure Cosmos DB etc.
• Azure DevOps Principles & practices, including CI/CD pipelines.
• Azure Security Management for security policies, access controls
• Azure Active Directory, network security groups
• Strong data analytics skills for data profiling to train the model

Skills

Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark), Databricks & MLFlow, SQL.

Anali Arriaza
External Resource Manager
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