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Machine Learning Engineer
Machine Learning Engineer
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Machine Learning Engineer

Bhavana Kapalganti's profile picture
Posted by Bhavana Kapalganti
3 - 5 yrs
Best in industry
Remote only
Skills
LoRA / QLoRA
skill iconPython
SLM
Large Language Models (LLM)
PyTorch

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 are doers, thinkers, and collaborators 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.

 

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.


Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. 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.

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About Egnyte

Founded :
2008
Type :
Product
Size :
500-1000
Stage :
Profitable

About

Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.

 

Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.

We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

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Connect with the team

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Prasanth Mulleti
Profile picture
Pranav Dabral
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Zakir Sheikh
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John Vivek

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