Last Updated on April 18, 2024 by GeeksGod
Internship Drive 2024
GenAI / NLP Internship 2024 by JobTwine: As a GenAI / NLP Intern, you will be responsible for assisting in the development and implementation of GenAI and natural language processing (NLP) technologies. Your day-to-day tasks may include data preprocessing, model development and evaluation, and supporting the research and development of new algorithms and techniques in the field of artificial intelligence and natural language processing.
| Job Title | GenAI / NLP Internship 2024 by JobTwine |
|---|---|
| Description | Collaborate with experienced developers to make applications using Natural Language Processing (NLP). Experiment with various tools and frameworks to solve problems. Have a good understanding of Python and machine learning. It would be great if you’re familiar with transformer-based and generative models like GPT3, T5, and Pegasus. You must have a solid grasp of Python. Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus |
| Estimated salary | Per hour – |
| Work Location | Postal code : Delhi |
| Employment Type | FULL TIME |
Company Description for Jobtwine NLP Internship 2024
JobTwine is an Intelligent Interviewing Platform that revolutionizes the interviewing ecosystem within organizations. Our innovative technology helps hiring managers effortlessly create tailored interview playbooks and provides guidance, consistency, and transcriptions to streamline and automate interview feedback. With our product offerings including the AI Playbook Builder, AI Interviewer Copilot, AI Conversational Feedback generator, and Interview as a Service, we empower organizations to reduce wrong hires, reduce biased hiring, and substantially improve time to offer, while increasing productivity and achieving DEI targets.
DURATION of Internship
THREE (3) months
Qualifications for JobTwine NLP Internship 2024
- Collaborate with experienced developers to make applications using Natural Language Processing (NLP).
- Experiment with various tools and frameworks to solve problems.
- Have a good understanding of Python and machine learning.
- It would be great if you’re familiar with transformer-based and generative models like GPT3, T5, and Pegasus.
- You must have a solid grasp of Python.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a plus
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