Lead the design, implementation, and maintenance of a robust infrastructure for deploying, monitoring, and managing machine learning models in production environments.
Develop and automate end-to-end pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate closely with data scientists to understand model requirements and optimize model performance for production use.
Establish and maintain CI/CD pipelines to streamline the deployment process and ensure reproducibility.
Design and implement monitoring and alerting systems to track model performance and health, and proactively identify and address issues.
Optimize system architecture and resource utilization to ensure scalability, reliability, and cost-effectiveness.
Stay abreast of industry best practices and emerging technologies in MLOps, data engineering, and DevOps, and integrate them into our processes and infrastructure.
Provide technical leadership and mentorship to junior team members, and drive innovation and continuous improvement across the organization.
Skills Required
Machine Learning
Python
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