Machine Learning Engineer

at Egnyte

Machine Learning Engineer

Egnyte

Company

Home

Machine Learning Engineer

at Egnyte

Posted by Bhavana Kapalganti

3 - 5 yrs

Best in industry

Remote only

Skills

LoRA / QLoRA

Python

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.

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Invested Relationships

Fiscal Prudence

Candid Conversations

ABOUT EGNYTE

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

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Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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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.

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.

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.

Prasanth Mulleti

Pranav Dabral

Zakir Sheikh

John Vivek

Company social profiles

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Visit our website: https://rezo.ai/">https://rezo.ai/ for more information

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+3 more

Hiring a smart, creative tech-wizard with excellent communication and leadership skills, who is fascinated to build high end software. We are looking for someone who is flexible, adaptive, loves to tackle new challenges and thrives to solve them using the latest technologies available in the market. You must be self-motivated, a go-getter, out of box thinker and ready to work in a high-energy start-up environment. You must demonstrate high level of ownership, integrity and leadership skills. You play an important role in shaping the product which is going to be used by millions of people around the world, having the potential to be next Facebook or Instagram. Responsibilities: 1. Be the bridge between technology team and the business having a true “roll up the sleeves and get it done” working approach 2. Develop and maintain long-term architecture and ensure alignment with the business objectives 3. Establish architectural, technical standards and processes ensuring adherence from the team 4. Provide technical leadership to the Product Development team by being primary technology influencer. 5. Review technical design documents and provide constructive rational feedback. 6. Work closely with the team at all levels to solve technical challenges including being hands on if required 7. Evaluate and identify appropriate technology solutions to meet business and technology challenges. 8. Ensure scalability, security, reliability, performance and cost effectiveness 9. Keep abreast of evolving technologies and how those may benefit our business. Anticipate technological evolution that could be leveraged to enhance current architectures or used to design new ones.

Content Writer

at MineWhat Inc

2 recruiters

Posted by Ram Ganesan

Bengaluru (Bangalore)

0 - 4 yrs

₹3L - ₹5L / yr

Blogging

Content Marketing

Content Writing

Creative Writing

Like being part of the action in a fast paced team? Enjoy writing interesting stories? Want to work on something that people use and pay for? Read on. Responsibilities Experience in writing copy for digital marketing campaigns including email marketing, web pages, landing pages, and Search Engine Marketing Writing copy for deliverables such as testimonials, case histories, online product demos, videos and white papers Writing press release articles, blogs, SlideShare presentations What will make you a good fit You write and speak English articulately You're passionate about solving problems and the startup space in general Before applying take a look at our website and blog https://minewhat.com/blog Bachelor's degree preferred in a relevant major such as communications, marketing, advertising or business.