Greeting,
We have the below requirement with our Client. Kindly go through the JD below and let me know your interest.
Role: ML Ops Engineer
Location: MIAMI, FL (Hybrid)
Duration: Long Term
Need USC, H1B and H4EAD candidates only.
LinkedIn & Passport Number Must for Submission
• Understand the requirements for advanced analytics, including BI and Data Science, accordingly, deliver the ML Ops framework.
• Design and implement ML Ops for enabling platform for model deployments, creating model inference pipelines, managing model versions.
• Managing and maintaining ML Models in production environment. This will include providing the platform and configuration for ML Models, deployment support, monitoring.
• Building and managing deployment pipelines
• Monitoring model performance
• Managing model versioning
• Managing ML Infrastructure
• ML 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 ML Services (preferred Azure ML)
• 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
• Design and implement ML Ops for enabling platform for model deployments, creating model inference pipelines, managing model versions.
• Managing and maintaining ML Models in production environment. This will include providing the platform and configuration for ML Models, deployment support, monitoring.
• Building and managing deployment pipelines
• Monitoring model performance
• Managing model versioning
• Managing ML Infrastructure
• ML 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 ML Services (preferred Azure ML)
• 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.
Thanks & Regards
Mohd Taher
Email: taher@gacsol.com
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