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AI/ML Trainee

Role overview

Qualifications

  • B. Tech or MCA
  • Strong Python Programming skills
  • Excellent Database knowledge
  • Must be a self learner

Responsibilities

  • Participate in a 6-month training program
  • Work on relevant AI/ML projects
  • Collaborate with the team via Zoom, Slack, Jira, and WhatsApp
  • Contribute to open-source projects

Key facts

  • Remote from: Anywhere
  • Internships
  • Junior (1-2 years)
  • AI/ML Engineer
  • English

Hard skills

About the company

AccuKnox logo

AccuKnox

  • Cybersecurity
  • 51–200
Gen-AI Powered Zero Trust CNAPP. Launched in 2020 in co-partnership with Stanford Research Institute (www.sri.com) and is anchored on seminal patented inventions in the areas of Container Security, Anomaly Detection, and Data Provenance. AccuKnox can be deployed in Public and Private Cloud environments. AccuKnox has received seed funding from SRI, National Grid Ventures, z5Capital, and Outliers.vc Check out our product vision video: https://vimeo.com/489025103 Check out kubearmor.io our opensource project [container aware runtime security enforcement system]

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Job description

This is a remote position.

About Us

AccuKnox provides a Zero Trust Cloud Native Application Security (CNAPP) platform. AccuKnox is the core contributor to Kubernetes Run-time security solution, KubeArmor®, a very popular CNCF (Cloud Native Computing Foundation) project. AccuKnox was developed in partnership with SRI (Stanford Research Institute) and is anchored on seminal inventions in the areas of Container Security, Anomaly Detection, and Data Provenance. AccuKnox can be deployed in Public and Private Cloud environments. www.accuknox.com             

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Requirements

Job Description



Benefits

Work Model

  • Work from home. You will be required to be on zoom video for meetings and be on slack, jira, whatsapp.

  • We are a global team with clients and team members and we expect everyone to be flexible with respect to participating in zoom video calls to meet the needs of our team members, clients and partners

  • We do a 2 week sprint in person at an offsite location 




Salary: 10 K+

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