Machine Learning Engineer - AI

EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyte r should be respected. With23,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte , you’re not just landing a new career, you become part of a team of Egnyte rswhodoers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations ABOUT EGNYTE Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 23,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit. WHAT YOU’LL DO: Fine-tune and train SLMs using Hugging Face, TRL, and adapter methods (LoRA,QLoRA, PEFT) Optimize models for inference via quantization, pruning, and knowledge distillation Deploy models to edge devices, mobile, and local servers with strict latency targets Build end-to-endMLOpspipelines from data ingestion to deployment Monitor model accuracy, latency, and hardware utilization in production Evaluate model quality using benchmarking frameworks and custom evaluation suites YOUR QUALIFICATIONS: SLM Development & Fine-tuning:Train and fine-tune SLMs using Hugging Face and Knowledge on Adaptors. Model Optimization:Apply quantization, pruning, knowledge distillation, and optimization for lightweight, efficient models. Edge Deployment:Deploy models to edge devices, mobile, and local servers, etc. Pipeline Engineering:Build end-to-endMLOpspipelines — from data ingestion to deployment. Performance Monitoring:Track model accuracy, latency, and CPU/GPU usage in production