Artificial Intelligence (AI) - Internship (WFH & Part Time)
CareerNest Verified employer
Actively hiring · Posted 1d ago · JEV26119D7521643D
Job description
About the internship:Selected intern's day-to-day responsibilities include:
1. Developing and applying AI models for chemical process analysis and optimization.
2. Conducting research on AI-driven solutions for predictive maintenance, chemical yield prediction, and quality control.
3. Working with structured and unstructured chemical and industrial datasets.
4. Applying Natural Language Processing (NLP) techniques for processing scientific literature and patents.
5. Building intelligent automation tools to assist R&D and production teams.
6. Collaborating with domain experts to deploy AI-based industrial solutions.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 23rd Oct'26 and 27th Nov'26are available for duration of 1 monthhave relevant skills and interestsStipend:INR₹ 20,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Data Structures and Artificial intelligenceAbout Company:Nirmaan Aoudhyogik Rasayan Pvt Ltd is a leading chemical manufacturing company based in India, specializing in the production of high-purity aldehydes. With a strong focus on salicylaldehyde and coumarone, we serve a wide range of industries including pharmaceuticals, agrochemicals, fragrances, and resins.
Responsibilities
Selected intern's day-to-day responsibilities include:
1. Developing and applying AI models for chemical process analysis and optimization.
2. Conducting research on AI-driven solutions for predictive maintenance, chemical yield prediction, and quality control.
3. Working with structured and unstructured chemical and industrial datasets.
4. Applying Natural Language Processing (NLP) techniques for processing scientific literature and patents.
5. Building intelligent automation tools to assist R&D and production teams.
6. Collaborating with domain experts to deploy AI-based industrial solutions.
Key skills
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