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Role Overview
The Machine Learning Engineer leads the design, development, deployment, and operation of large-scale, production-grade AI/ML systems
They drive the end-to-end lifecycle from research prototypes to highly reliable, scalable production systems define and standardize MLOps best practices, including training, evaluation, deployment, and monitoring pipelines and architect and evolve shared platforms and infrastructure for model training, evaluation, and low-latency inference at scale This role requires strong expertise in software engineering, distributed systems, and cloud-native architectures with deep experience in LLM/Generative AI systems (RAG, agents), retrieval/search systems, vector/graph databases, and modern MLOps platforms