Job Description

The Responsibilities associated with this position include:
Review the deployment, monitoring, and maintenance aspects of machine learning related initiatives.
Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
Collaborate with data scientists, data engineers, and domain experts to understand model requirements and optimize deployment processes.
Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.
Implement best practices for version control, model reproducibility and governance.
Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
Troubleshoot and resolve issues related to model deployment and performance.
Ensure compliance with security and data privacy standards in all MLOps activities.
Keep up-to-date with the latest MLOps tools, technologies and trends.
Provide support and guidance to other...

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