Negotiable
Outside
Remote
USA
Summary: The role is for an MLOps Engineer with a focus on Azure technologies, offering a 100% remote working arrangement. It is a contract-to-hire position, initially lasting three months, after which the client intends to hire the candidate as a full-time consultant. The ideal candidate should possess strong expertise in AI/ML and various Azure services related to machine learning operations.
Key Responsibilities:
- Develop and implement MLOps practices using Azure technologies.
- Utilize MLflow for managing machine learning workflows.
- Work with Azure ML, Azure DevOps, Azure Databricks, and Azure Data Factory (ADF).
- Deploy and manage machine learning models on Azure Kubernetes Service (AKS).
Key Skills:
- Strong experience in AI/ML and MLOps.
- Proficiency in MLflow.
- Experience with Azure ML, Azure DevOps, Azure Databricks, and Azure Data Factory (ADF).
- Knowledge of Azure Kubernetes Service (AKS).
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
MLOps Engineer with Azure Experience
100% Remote
Contract to Hire-W2 (3 months Contract later client will hire as a Full Time Consultant)
Should have strong experience in AI/ML, MLOps, MLflow, Azure ML, Azure Devops, Azure Databricks, Azure Data Factory (ADF), AKS.