Описание
Accountabilities:
- Lead the technical support, maintenance, evolution, and reliability of Data Science, Machine Learning, and AI products.
- Ensure the availability, performance, scalability, security, and operational continuity of production models, machine learning pipelines, and analytical applications.
- Oversee the operational management of the AI and analytics model portfolio, ensuring compliance with service-level agreements (SLAs), timely incident resolution, and continuous improvement.
- Provide technical leadership to teams responsible for supporting and evolving data and AI products, establishing priorities, technical direction, and quality standards.
- Serve as a technical reference for Data Science, Machine Learning Engineering, and MLOps teams, promoting operational excellence and consistent engineering practices.
- Establish and enhance monitoring and observability capabilities for data, models, pipelines, and inference services to detect risks, performance degradation, and operational issues proactively.
- Maintain model quality, relevance, and performance through monitoring, validation, retraining, and effective lifecycle governance.
- Prioritize and negotiate requests across relevant teams, balancing stakeholder expectations, risks, deadlines, and business value.
- Act as a liaison between business areas, technical teams, and external providers, ensuring effective communication, alignment, and data-driven decision-making.
- Drive technological improvements
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