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Tier-1 brand, generic senior title, metro location, and broad cloud+ML requirements increase candidate competition.
Requires production ML, cloud, and compliance expertise, moderately transferable across industries.
Explicit 8+ years and mandatory ML production, cloud, and security compliance requirements create strict filters.
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Develop and ship production-grade AI/ML features for Fusion ensuring quality, performance, and reliability across OS and cloud platforms.
Build and maintain high-availability cloud AI services with telemetry and monitoring for performance, errors, and costs.
Lead implementation of security frameworks (SOC2, PRRAF), data privacy guardrails, and responsible AI practices with ownership of engineering excellence and mentoring team members.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
8+ years of industry experience delivering robust, performant commercial software applications.
Proficiency with AWS or Azure and related cloud technologies (SageMaker, Postman, Splunk, Dynatrace) managing multi-service environments.
Proven experience deploying AI/ML models to scalable production systems and familiarity with security audit processes like SOC2.
Experienced tech lead with pragmatic approach balancing code quality and speed to market.
Strong background in cloud-native AI-powered workflow integration and system-level architecture design.
Experience with security-first coding practices and monitoring AI model health and drift in production environments.