Search by job, company or skills

  • Posted 6 months ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Company Description

GenFintech Analytics is an innovative startup committed to transforming the way businesses operate through the power of Artificial Intelligence.
We strongly believe that AI should be a core functionality in every modern solution, enabling automation of repetitive tasks, intelligent decision-making, and data-driven insights.
By embedding AI into our products and services, we aim to streamline operations, reduce manual effort, enhance accuracy, and unlock new growth opportunities for our clients.
Our vision is to make AI-powered automation accessible, efficient, and impactfulturning complex challenges into simple, smart, and scalable solutions.

Role Description


This is a full-time, remote AI Internship opportunity at GenFintech Analytics Pvt. Ltd., headquartered in Mumbai.
The AI Intern will assist in the development and implementation of AI models, conduct data analysis, and support team members in various AI-driven projects. The intern will also contribute to research, documentation, debugging, and maintenance of AI software and applications.
This role offers hands-on experience in AI and analytics within a collaborative team environment.

Internship Details:

Duration: 3 Months

Work Hours: 5 hours per day (flexible schedule)

Type: Unpaid Internship

Location: Remote (with possible coordination with the Mumbai team)

Completion Reward: Certificate of Completion in AI Internship from GenFintech Analytics Pvt. Ltd.

Qualifications


Experience with Python, R, and other programming languages for AI development

Knowledge of machine learning algorithms, data analysis, and statistical methods

Familiarity with AI frameworks such as TensorFlow, Keras, and PyTorch

Strong analytical, problem-solving, and critical thinking skills

Excellent written and verbal communication skills

Ability to work independently and collaboratively in a team

Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field

More Info

Job Type:
Industry:
Function:
Employment Type:

Job ID: 126999581