As a AI Ops Engineer, you will play a critical role in the design, development, and deployment of AI platform, collaborating with cross-functional teams to ensure scalability, reliability, and efficiency of AI solutions.
Requirements
- Designing and delivering hybrid AI Platform
- Maintaining scalable, efficient and reliable data and AI pipelines
- Maintaining MLOps and LLMOps pipeline across Databricks and on-prem clusters
- Developing and implementing AI and ML models to enhance operations and automate routine tasks
- Monitoring and analyzing system performance, identifying and resolving issues proactively
- Creating and maintaining documentation for AIOps processes and solutions
- Conducting root cause analysis and implementing corrective actions to prevent future incidents
- Designing, implementing & maintaining monitoring strategy for AI Platform across central observability
- Ensuring AI platform delivery and services meet security and risk requirements and operational SLA
- Collaborating with data scientist, data engineers, and central data governance team to align with a standardized data strategy
- Collaborating with other teams to integrate AIOps solutions to existing services (ServiceNow, Elk, etc.)
- Cross-Collaborating with technology and architecture teams to align with best practices and standards
- Performing code-reviews ensuring lower tech debt and avoiding spaghetti code
- Staying up to date with industry trends, research in artificial intelligence field
- Developing and maintaining strong relations ships with internal and external stakeholders
Benefits
- Core bank funding for retirement savings
- Medical and life insurance
- Flexible and voluntary benefits
- Time-off including annual leave, parental/maternity, sabbatical, and volunteering leave
- Flexible working options based around home and office locations, with flexible working patterns
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits