Ai/ml Intern Job in Kylo Technologies Llp

Ai/ml Intern

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Job Summary

Responsibilities

  • Designing, building, and configuring applications to meet business process and application requirements using machine learning, artificial intelligence, deep learning, and analytics
  • Designing and implementing machine learning, information extraction, probabilistic matching algorithms and models
  • Researching and developing innovative, scalable, and dynamic solutions to problems
  • Working closely with frontend as well as backend team to build data models.
  • Collaborating product management and other team members
  • Develop ML models for vision intelligence and knowledge of deploying models on AWS.
  • Improve existing ML layers and modules.
  • Build data pipelines (knowledge of backend programming is required).
  • Build frontend and backend applications as required.
  • Train models using adversarial networks Optimise inferencing software to run at better frame rates.
  • Work on video pipelines and manipulate frames using OpenCV.

Skills

  • The candidate should have experience in python, data modelling & Machine learning.
  • Knowledge of backend APIs & deployment of ML model on cloud server.
  • Ability to act with integrity, professionalism and confidentiality.
  • Strong organisational skills and attention to detail.
  • Ability to cope with a fast-paced business environment and adhere to deadlines.
  • High level of ownership and a go-getter attitude.
  • Ability to multitask and adapt to changes.

What We Offer

  • Fixed stipend + PPO opportunity.
  • A fun, intelligent, empowered, and trustworthy team to work with.
  • Work from Home/Office (optional).
  • Internship certificate and Letter of Recommendation.
  • Training and guidance from the experienced team at the company.
  • Extendable internship period on mutual agreement.
  • Opportunity to learn from the ever evolving huge industry and current trends in the IT Services industry.
  • Experience of a startup and opportunity to work on various segments of the corporate world.

Selection Process

  • Resume shortlisting
  • Telephonic Interview (HR)
  • Video interview (Technical)
Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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