Description MLOps AI Engineer Responsibilities Design, implement, and manage MLOps pipelines for LLM training, fine-tuning, and deployment Automate data, model, and experiment tracking Set up and optimize scalable serving infrastructure on AWS, ensuring reliability, security, and cost-effectiveness Integrate Python model code and libraries (HuggingFace Transformers, LoRA, Unsloth) into production environments Collaborate with Data Scientists and Software Engineers to streamline model development life cycles Monitor, profile, and optimize AI workloads for cost and performance Requirements Bachelors or Masters in Computer Science, Engineering, or a related discipline Good understanding of using Gen AI Proven experience with AWS deployment and infrastructure services, including hands-on orchestration
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