AI Ops Engineer

Responsible for designing and delivering hybrid AI Platform.
•    Maintain scalable, efficient and reliable data and AI pipelines.
•    Maintain MLOps and LLMOps pipeline across Databricks and on-prem clusters.
•    Develop and implement AI and ML models to enhance operations and automate routine tasks.
•    Monitor and analyse system performance, identifying and resolving issues proactively.
•    Create and maintain documentation for AIOps processes and solutions.
•    Conduct root cause analysis and implement corrective actions to prevent future incidents.
•    Design, implement & maintain monitoring strategy for AI Platform across central observability.
•    Ensure AI platform delivery and services meet security and risk requirements and operational SLA.
•    Collaborate with data scientist, data engineers, and central data governance team to align with a standardised data strategy.
•    Collaborate with other teams to integrate AIOps solutions to existing services (ServiceNow, Elk, etc)
•    Cross-Collaborate with technology and architecture teams to align with best practices and standards.
•    Perform code-reviews ensuring lower tech debt and avoiding spaghetti code.
•    Stay up to date with industry trends, research in artificial intelligence field.
•    Develop and maintain strong relations ships with internal and external stakeholders.