Execute software engineering tasks to support end-to-end ML operations, focusing on scaling
Design, build, and maintain MLOps systems with Python, Kubernetes, Kafka, and modern databases
Implement observability tools such as Prometheus and Grafana for reliability, performance, and
Collaborate with data scientists and ML engineers to streamline workflows for LLM, generative AI
Review architecture and implementation plans for scalability and best practices
Mentor junior and mid-level engineers to foster collaboration and operational excellence

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