Index Engines Career Portal


Role Overview:

Index Engines has an outstanding career opportunity for a senior level Machine Learning (ML) Operations (Ops) Engineer.  The ideal candidate will help us deploy, manage, and optimize our machine learning models.

Responsibilities:

  • Manage ML Pipeline(s)
  • Manage ML systems and operations:
    • Ransomware acquisition pipeline operations
    • Manage detonation and analysis services
    • Manager recurring reports of new ransomware detonated images
    • Perform some System Admin and VM management
  • Manage Cloud service
    • Report generation, creation and optimization
    • Data collection and analysis
    • Log management
    • Routine system administration
  • Collect, analyze and report on internally collected data
  • Data acquisition/Web crawling
  • Collaboration: Work closely with data engineers, software developers, and IT teams to ensure seamless integration of ML models.
  • Provide technical leadership within assigned areas of responsibility.

Requirements:

  • Proven experience in deploying and managing machine learning models in production.
  • Proficiency in programming languages such as Python. Familiar with pandas and numpy.
  • Experience with shell scripting on Linux and Windows.
  • Experience with VMware operations and administration.
  • Excellent problem-solving and communication skills.
  • Strong written and oral communications skills.
  • Enjoys working in a challenging and highly collaborative environment.
  • Able to work as part of a team.
  • Able to accommodate the time zone differences required to work with teams in the US and Asia.
  • Require minimal supervision and be able to operate in a matrixed organization.
  • Bachelor’s degree in computer science or related field.
  • Minimum of 7-10 years of professional experience.

Preferred:

  • Knowledge of data engineering and data pipeline tools.
  • Experience with svn, git, Jira and Confluence.
  • Experience setting up and configuring PCs, Networks and ESXi hosts.

Why Join Index Engines?

  • Opportunity to work with a pioneering, rapidly growing company in cybersecurity and backend storage solutions.
  • Collaborative and innovative work environment.
  • Competitive salary and benefits package.

To Apply: Please email your resumes to: [email protected]  with subject line “ML Operations (Ops) Engineer – ML”

Location Holmdel-NJ
Field Engineering
Time Full-time
Date 24 October 2024
Company name Index Engines Visit company page
Description

Index Engines is at the forefront of delivering cutting-edge, AI-powered data security solutions, prominently featured through our lead offering: CyberSense®. Leveraging strategic partnerships with industry giants, CyberSense stands as a testament to our commitment to innovation and excellence.

At the heart of our technology lies an enterprise-class platform, empowering organizations to comprehensively understand their data's integrity. CyberSense is built on this platform and ensures data resiliency against cyber threats, enabling businesses to uphold operational reliability and mitigate the risk of downtime resulting from ransomware attacks.

Our impact spans globally, serving over 1,500 clients across diverse industries, including financial services, healthcare and manufacturing. These organizations rely on Index Engines to safeguard their data and ensure their business is not threatened by cyber criminals.

Image
About our 99.99% SLA
The 99.99 SLA is our commitment to our customers to uphold the highest standard of in-house lab testing to detect data corruption from ransomware.

Index Engines is the world’s leading AI powered analytics engine to detect data corruption due to ransomware. Index Engines' CyberSense® empowers organizations to detect ransomware and data corruption and facilitate smarter recovery from attacks.

Contact Us

Copyright

Copyright 2024. All rights reserved. Index Engines Inc. CyberSense is a registered trademark of Index Engines Inc. All products mentioned are trademarked by their respective organizations.

Our Privacy Policy can be viewed here.

Do Not Sell My Personal Information