
1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏗️ Construction
💰 Private Equity Round - Egnyte on 2025-02
Consulting • Healthcare • Construction
Egnyte is an AI-powered content cloud and enterprise file-sharing platform that provides secure file storage, collaboration, and governance. It enables teams to access and co-edit large and complex files from the cloud via desktop and web apps, integrates with common productivity and cloud platforms, and adds AI features (assistant, agents, AI search, workflows) for insights and automation. Egnyte also includes built-in data governance, compliance automation, ransomware detection, and sensitive-data protection to meet enterprise regulatory needs.
🔥 0 minutes ago
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1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏗️ Construction
💰 Private Equity Round - Egnyte on 2025-02
Consulting • Healthcare • Construction
Egnyte is an AI-powered content cloud and enterprise file-sharing platform that provides secure file storage, collaboration, and governance. It enables teams to access and co-edit large and complex files from the cloud via desktop and web apps, integrates with common productivity and cloud platforms, and adds AI features (assistant, agents, AI search, workflows) for insights and automation. Egnyte also includes built-in data governance, compliance automation, ransomware detection, and sensitive-data protection to meet enterprise regulatory needs.
• Fine-tune and train SLMs using Hugging Face, TRL, and adapter methods such as LoRA, QLoRA, and PEFT • Optimize models for inference using quantization, pruning, and knowledge distillation • Deploy models to edge devices, mobile, and local servers with strict latency targets • Build end-to-end MLOps pipelines from data ingestion through deployment • Monitor model accuracy, latency, and hardware utilization in production • Evaluate model quality using benchmarking frameworks and custom evaluation suites
• Experience training and fine-tuning SLMs using Hugging Face • Knowledge of adapters and adapter methods such as LoRA, QLoRA, and PEFT • Ability to apply quantization, pruning, knowledge distillation, and model optimization techniques • Experience deploying models to edge devices, mobile environments, and local servers • Ability to build end-to-end MLOps pipelines from data ingestion to deployment • Ability to monitor model accuracy, latency, and CPU/GPU usage in production • Deployment experience in edge or mobile environments preferred • Knowledge of ONNX export and cross-platform inference preferred • Knowledge of MLOps tooling, including experiment tracking, model registries, and CI/CD for ML, preferred
• Equal employment opportunity and diversity and inclusion initiatives • Global Egnyte Employee Communities (EECs) supporting representation and inclusion • Opportunity to work on a secure multi-cloud content security and governance platform
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