Strong expertise in AI Ops / MLOps / LLM Ops practices
End-to-end model lifecycle management
Advanced model monitoring, observability, and alerting frameworks
Drift detection, performance tracking, and automated retraining
CI/CD and DevSecOps for AI/ML systems
Scalable deployment architectures for AI/ML and LLM
AI governance, risk, security, and compliance frameworks [
AI platform engineering and operational tooling experience
Performance optimization (latency, cost, scalability) for AI workloads
Strong experience in automation of AI operations workflows
Data pipeline integration and ML infrastructure management
Cross-functional collaboration with engineering, data, and platform teams
Responsibilities:
Define and implement AI Ops / MLOps / LLM Ops strategy for enterprise AI platforms
Manage end-to-end AI operations lifecycle (deployment, monitoring, scaling, optimization)
Establish model monitoring, observability, and alerting frameworks for production AI systems
Implement model lifecycle management (versioning, deployment, retraining, rollback, drift detection)
Define and track AI Ops KPIs (performance, reliability, incident reduction, automation efficiency)
Ensure high availability, scalability, and performance of AI systems in production
Drive adoption of CI/CD and DevSecOps practices for AI/ML systems
Implement governance, risk, security, and compliance controls for AI systems
Collaborate with AI engineering, data, and platform teams for seamless operation
Manage incident response, root-cause analysis, and continuous improvement for AI system
Optimize cost, latency, and resource utilization of AI workloads
Drive automation of AI operations processes and workflows
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.