Sr Machine Learning Engineer - AI

Egnyte; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Egnyte is seeking an experienced ML Engineer to fine-tune large language models using Hugging Face, optimize for edge deployment, and build end-to-end MLOps pipelines.

You will work on deploying models to edge devices and local servers with strict latency targets, monitor performance in production, and contribute to the security-minded, multi-cloud content governance platform that Egnyte provides to 23,000+ organizations.

Qualifications

• Experience fine-tuning large language models using Hugging Face and adapters.
• Experience applying quantization, pruning, distillation for lightweight models.
• Experience deploying models to edge devices and local servers with latency targets.
• Ability to build end-to-end MLOps pipelines from data ingestion to deployment.
• Ability to monitor model accuracy, latency, and hardware usage in production.

Responsibilities

• Fine-tune SLMs with Hugging Face and adapters.
• Optimize models for lightweight deployment.
• Deploy to edge devices, mobile, and local servers with latency targets.
• Build full MLOps pipelines from data ingestion to deployment.
• Monitor accuracy, latency, and hardware usage in production.
• Evaluate model quality with benchmarking.

Skills

SLM fine-tuning

Model optimization

Edge deployment

MLOps pipelines

Performance monitoring

Tools

Hugging Face

ONNX

CI/CD for ML

Job description

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 Egnyter should be respected. With 23,000 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 Egnyters who doers, 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 www.egnyte.com.

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-end MLOps pipelines 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-end MLOps pipelines — from data ingestion to deployment.
• Performance Monitoring: Track model accuracy, latency, and CPU/GPU usage in production.

Good to have

• Deployment experience on edge or mobile environments
• Knowledge of ONNX export and cross-platform inference
• MLOps tooling — experiment tracking, model registries, CI/CD for ML

EQUAL EMPLOYMENT OPPORTUNITY

At Egnyte, we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of [e-mail]. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact [e-mail]. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.