Artificial Neural Networks Internship

Are you a talented individual with a passion for Artificial Neural Networks and a strong skill set in Python, Machine Learning, Neural Networks, Natural Language Processing (NLP), Deep Learning, and JavaScript?

If so, we have an exciting opportunity for you at QuickHyre! Selected intern's day-to-day responsibilities include: As an intern at QuickHyre, you will have the chance to work on cutting-edge projects and gain valuable hands-on experience in the world of Artificial Neural Networks.

1. Collaborating with our team to develop and implement advanced neural network models 2. Conducting research and staying up-to-date on the latest developments in the field 3.

Assisting in the design and optimization of algorithms for machine learning tasks 4. Building and training neural networks for various applications, including NLP 5.

Writing clean, efficient code in Python and JavaScript 6. Analyzing and interpreting data to extract meaningful insights 7. Contributing innovative ideas and solutions to enhance our products and services If you are a motivated self-starter with a strong foundation in Artificial Neural Networks, we want to hear from you!

Join us at QuickHyre and take your career to the next level. Apply now! Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 16th Oct'26 and 20th Nov'26 • are available for duration of 3 months • have relevant skills and interests Stipend: INR₹ 80,000 - 1,00,000 /month Deadline: 2026-11-25 23:59:59 Other perks: Certificate, Letter of recommendation, 5 days a week Skills required: JavaScript, Python, Machine Learning, Neural Networks, Natural Language Processing (NLP) and Deep Learning About Company: QuickHyre is an AI-powered job hiring and finding platform that bridges the gap between job seekers, recruiters, and educational institutions.

We leverage cutting-edge AI technology to streamline recruitment processes, making job matching, resume screening, and virtual interviews more efficient.