Opportunity Description
Elevate your career as a Data Engineer in our Advanced Analytics team, focusing on deploying and managing ML models. You’ll ensure model stability and performance in production environments.
In this crucial role, you will bridge the gap between data scientists and IT teams, enhancing operational excellence through robust data pipelines and monitoring systems. Collaborate closely while executing ML model deployments and automating processes for continuous evaluation. Your expertise will support impactful AI solutions and optimize data handling.
Key Responsibilities:
• Design and manage ETL data pipelines for diverse sources
• Execute data quality checks and maintain a curated feature store
• Deploy and scale machine learning models for production
• Work with data scientists to provide clean, structured data
• Collaborate on infrastructure setup and manage ML lifecycle
Requirements:
• Master’s degree in technical field
• 2+ years experience with Azure data t...
In this crucial role, you will bridge the gap between data scientists and IT teams, enhancing operational excellence through robust data pipelines and monitoring systems. Collaborate closely while executing ML model deployments and automating processes for continuous evaluation. Your expertise will support impactful AI solutions and optimize data handling.
Key Responsibilities:
• Design and manage ETL data pipelines for diverse sources
• Execute data quality checks and maintain a curated feature store
• Deploy and scale machine learning models for production
• Work with data scientists to provide clean, structured data
• Collaborate on infrastructure setup and manage ML lifecycle
Requirements:
• Master’s degree in technical field
• 2+ years experience with Azure data t...
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