Internship Description
ARTIFICIAL INTELLIGENCE INTERN
Yhills Edutech Private Limited
- Virtual Internship
- 10-Mar-2026
- Pan India,
-
Start date
Immediately -
Duration
2 Months -
Stipend
₹0 /month -
No of Credits
8 -
Apply by
01-Apr-2026
About the program
Job Title: Artificial Intelligence AI Engineer Company: YHills Location: Remote Hybrid Onsite as applicabley Employment Type: Full time About the Company YHills is a fast growing technology driven organization focused on delivering innovative learning and technology solutions. We work on cutting edge technologies including Artificial Intelligence, Data Science, and emerging digital tools to build impactful solutions for businesses and learners worldwide. Role Overview We are looking for a passionate AI Engineer to design, develop, and deploy intelligent systems. The ideal candidate should have strong foundations in machine learning, deep learning, and modern AI frameworks, and be eager to build realworld AI solutions. Key Responsibilities Develop, train, and deploy machine learning and AI models for various applications. Build and optimize deep learning models using frameworks like TensorFlow or Py Torch. Work with large datasets to build predictive and intelligent systems. Integrate AI capabilities into products and applications. Design and implement NLP, computer vision, or generative AI solutions. Collaborate with cross functional teams including developers, data scientists, and product teams. Research and implement the latest AI advancements. Required Skills Strong proficiency in Python for AIML development. Experience with Machine Learning and Deep Learning frameworks TensorFlow, Py Torch, Scikit learn. Understanding of data structures, algorithms, and statistics. Experience with NLP, computer vision, or generative AI models is a plus. Knowledge of LLMs, prompt engineering, or AI APIs is an advantage. Familiarity with cloud platforms AWSGCP Azure and model deployment is a plus. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field. Relevant AIML projects, internships, or research experience preferred. Preferred Qualifications Experience with LLM frameworks Lang Chain, RAG pipelines. Knowledge of ML Ops tools and model deployment pipelines. Contributions to GitHub or opensource AI projects. What We Offer Opportunity to work on cutting edge AI technologies. Collaborative and innovation driven work culture. Learning and growth opportunities in emerging tech. Competitive salary and benefits.
Perks
Unpaid
Who can apply?
Only those candidates can apply who:
- are from Any
- and specialisation from Any
- are available for duration of 2 Months
- have relevant skills and interests
Terms of Engagement
No
Number of openings
8