Senior Advisor, Machine Learning Operations & Reliability Engineer
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The role
Design, develop, and deploy scalable, AI-driven applications across front-end, back-end, and ML pipelines.
Build and maintain full-stack solutions that integrate advanced ML models with real-time data processing.
Collaborate with data scientists to fine-tune and productionize LLMs and other GenAI models using MLOps best practices.
Design scalable APIs and microservices to support AI/ML workloads; establish observability and reliability frameworks.
Develop automated testing, monitoring, and alerting to proactively detect anomalies, drift, and failures, with CI/CD health checks.
Partner with business and engineering teams to define KPIs and ensure resilient, compliant deployments.
Build and maintain full-stack solutions that integrate advanced ML models with real-time data processing.
Collaborate with data scientists to fine-tune and productionize LLMs and other GenAI models using MLOps best practices.
Design scalable APIs and microservices to support AI/ML workloads; establish observability and reliability frameworks.
Develop automated testing, monitoring, and alerting to proactively detect anomalies, drift, and failures, with CI/CD health checks.
Partner with business and engineering teams to define KPIs and ensure resilient, compliant deployments.
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