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The AI Operations Manager will lead the design, deployment, and maintenance of productionized AI solutions. You'll bridge the data science and engineering worlds, owning CI/CD pipelines, model lifecycle management, and cross-functional delivery.
Job Responsibility
Own the end-to-end delivery of productionized ML/DL/LLM solutions, from design and development to deployment and ongoing performance
Partner with Data Science teams on solution design and delivery
ensure ongoing monitoring, maintenance, and performance of AI solutions in production
Champion compliance, security, and governance best practices across all AI/ML deployments
Coordinate with Release Management, Infrastructure, and DevOps to ensure reliable, smooth deployments
Requirements
Bachelor's degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics, or equivalent experience
5+ years of experience in AI Ops, ML Engineering, Data Science, Data Engineering, DevOps, or related fields
Advanced English proficiency (written and spoken)
Nice to have
Master's degree in a technical field (Data Science, Computer Science, Engineering, etc.)
8+ years of experience across AI/ML operations or related disciplines
Hands-on experience building or supporting enterprise-scale generative AI solutions, including LLM-based applications in high-volume production environments
Background in regulated industries (financial services a strong plus), with solid understanding of data privacy, AI governance, and compliance frameworks
Track record of maturing AI/ML operational processes and driving efficiency across onshore/offshore teams