DUTIES AND RESPONSIBILITIES:
- Team Leadership - provide mentorship, guidance and support to team members
- Strategic Planning - develop and execute MLOps strategy aligned with Globe's objectives
- Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective
- Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle
- Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining
- Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.
- Model Governance - implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards
- Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices
