Remote ML Ops Engineer (Azure )

Description:

• Seeking a seasoned Machine Learning Ops Engineer with expertise in both Machine Learning engineering and infrastructure, focusing on Machine Learning systems.
• Must have significant experience in Azure Machine Learning services such as ML Studio and AI studio.
• Proficiency in high-level architecture design for machine learning solutions is required.
• Familiarity with low-level design and deployment of ML Ops solutions is essential.
• Strong understanding of model training, validation, and deployment processes is a must.
• Experience in data engineering on Azure platforms like synapse, databricks, and Power BI is preferred.

Requirements:

• Proficiency in Azure Machine Learning services (ML Studio and AI studio).
• Strong expertise in high-level architecture design for machine learning solutions.
• Familiarity with low-level design and deployment of ML Ops solutions.
• Understanding of model training, validation, and deployment processes.
• Experience in data engineering on Azure platforms like synapse, databricks, and Power BI.

Benefits:

• Opportunity to work with a talented team in a dynamic environment.
• Enhance skills in Machine Learning engineering and infrastructure.
• Gain experience in working with public cloud platforms, specifically Azure.
• Contribute to the development of cutting-edge Machine Learning solutions.