AI/ML Trainee

Remote

Open 5 months, first seen by us 154 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
This is a remote position. About Us
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Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates: Entry levelJob title: AI/ML Trainee

What you’ll bring

All qualifications

Core experience

Ability to read, understand and write complex code:

Qualification wording

Ability to read, understand and write complex code:

About AccuKnox

AccuKnox provides a Zero Trust Cloud Native Application Security (CNAPP) platform.

In the employer’s words · Read in context

Apply at AccuKnox

Posting record

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Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026154 days ago
Recorded sightings: 96
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 154

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,331 similar postings that came down. Coming down is not always a hire.

AccuKnox is hiring

1 open job

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Kubernetes
scikit-learn

Where the posting names them

- Working model: WFH (Work From Home), Remote - Must Have Skills: Rockstar Python Programming, Excellent Database knowledge - Bonus Points for: Scikit-LLM LangChain, Vector Database, Knowledge Graphs, LLAMA2, qdrant database, Python, OpenSource Contributions

- Must Have Skills: Rockstar Python Programming, Excellent Database knowledge - Bonus Points for: Scikit-LLM LangChain, Vector Database, Knowledge Graphs, LLAMA2, qdrant database, Python, OpenSource Contributions - Ability to read, understand and write complex code:

- Ability to read, understand and write complex code: - Chess https://thepythoncode.com/article/make-a-chess-game-using-pygame-in-python - Uber Data Analysis https://www.geeksforgeeks.org/uber-rides-data-analysis-using-python/#

- Chess https://thepythoncode.com/article/make-a-chess-game-using-pygame-in-python - Uber Data Analysis https://www.geeksforgeeks.org/uber-rides-data-analysis-using-python/# - Education: B. Tech, MCA - must have; Most importantly must be a self learner

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 You may review the following videos:

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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

You may review the following videos:

AccuKnox Zero Trust CNAPP (Cloud Native Application Protection Platform) - Explainer [8 min video] - https://youtu.be/BqP0yQU7jQg
Zero Trust Secrets Management with AccuKnox [3 min video] - https://youtu.be/blC1DqtYl-c

Traits of people who do well at AccuKnox

Professionals who subscribe to these core values https://www.accuknox.com/core-values

Requirements

Job Description

Designation: Trainee AI/ML
Duration of training period: 6 months
Stipend during training period: With HR Discussion
Working model: WFH (Work From Home), Remote
Must Have Skills: Rockstar Python Programming, Excellent Database knowledge
Bonus Points for: Scikit-LLM LangChain, Vector Database, Knowledge Graphs, LLAMA2, qdrant database, Python, OpenSource Contributions
Ability to read, understand and write complex code:

Chess https://thepythoncode.com/article/make-a-chess-game-using-pygame-in-python
Uber Data Analysis https://www.geeksforgeeks.org/uber-rides-data-analysis-using-python/#

Education: B. Tech, MCA - must have; Most importantly must be a self learner

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

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