AI Ops ML Ops Engineer
Ref: BBBH67023_1780569894AI Ops ML Ops Engineer
Whitehall Resources are currently looking for a AI Ops ML Ops Engineer.
Key Requirements:
– The AI Ops / ML Ops Engineer operationalizes, monitors and supports AI/ML solutions in production.
– The role ensures models, pipelines and AI services are deployed, monitored, governed and maintained with reliable operational practices.
– Implement ML Ops and deployment practices.
– KPI (Qualitative): AI/ML deployments follow controlled and repeatable operational practices.
– Monitor model and solution health.
– KPI (Qualitative): Model health checks completed and production issues detected early.
– Support production AI/ML systems.
– KPI (Qualitative): Production AI/ML systems maintain expected uptime and support SLAs.
– Ensure auditability and governance of AI operations.
– KPI (Qualitative): AI operational records are complete and audit-ready.
– Improve automation and reliability.
– KPI (Qualitative): Reduced manual effort and improved reliability of AI/ML operations.
Key Experience:
– Min 7+ years of Experience in ML Ops, DevOps, AI/ML deployment, monitoring, cloud platforms and production support.
– Build strong cross-functional ways of working across Data & AI, IT, Digital and business teams so delivery is aligned, practical and business-led.
– Keep the internal and external customer experience at the center of data, analytics and AI delivery, with focus on reliable outcomes and decision support.
– Continuously build capability in modern data, analytics and AI practices and actively share knowledge with peers and business users.
– Apply structured problem solving to simplify complex data, process and technology issues and remove barriers to execution.
– Identify practical opportunities to improve business performance using modern data platforms, analytics, automation, GenAI and embedded AI capabilities.
– Adjust priorities and delivery approach in a dynamic business environment while maintaining governance, quality and business continuity.
– Deploy, monitor and manage ML models and AI services across the lifecycle.
– Apply release, versioning, automation and controlled deployment practices.
– Monitor uptime, drift, performance, data quality and operational metrics.
– Maintain runbooks, troubleshoot issues and coordinate incident resolution for AI/ML systems.
– Arabic & English preferred.
– Certifications in ML Ops, Databricks, Azure, DevOps, Kubernetes or cloud platforms are desirable.
All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.
Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
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