AI/ML Trainee

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
  

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
  

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