ARTIFICIAL INTELLIGENCE INTERNSHIP

Cloud Scale Innovation Pvt Ltd
  • Virtual Internship
  • 24-Jan-2025
  • Pan India,
  • Start date
    Immediately
  • Duration
    2 Months
  • Stipend
    ₹0 /month
  • No of Credits
    4
  • Apply by
    31-Jul-2025
  • Virtual Internship

About the program

Responsibilities 1. Collaborate with the team to develop and implement machine learning models and algorithms. 2. Assist in data collection, cleaning, and preprocessing for AI projects. 3. Conduct research on AI related topics and stay updated with the latest advancements. 4. Participate in brainstorming sessions to ideate innovative AI solutions. 5. Support the development of AI applications, including natural language processing NLP, computer vision, and recommendation systems. 6. Work on proof of concept projects and contribute to the overall AI strategy. 7. Analyze and interpret AI model results and provide actionable insights. 8. Document experiments, findings, and code for future reference. Qualifications 1. Pursuing a degree in Computer Science, Data Science, or a related field. 2. Strong programming skills in Python or another relevant language. 3. Familiarity with machine learning libraries e.g., TensorFlow, PyTorch, scikitlearn. 4. Familiarity with Full Stack Development e.g., Django, Java, GoLang, React, UI UX dev stack, etc 5. Basic understanding of neural networks, deep learning, and statistical modeling. 6. Excellent problemsolving abilities and attention to detail. 7. Good communication skills and ability to work in a team.

Perks

Hands-on experience in AI and machine learning projects. Exposure to real-world industry challenges. Mentorship from experienced AI professionals. Opportunity to contribute to cutting-edge research.

Who can apply?

Only those candidates can apply who:

  1. are from Any
  2. and specialisation from Any
  3. are available for duration of 2 Months
  4. have relevant skills and interests

Terms of Engagement

Virtual and Hybrid Stipend PAID stipends will be awarded only to eligible candidates who achieve specified benchmark requirements i.e. quality deliverables and 100 percentage commitment

Number of openings

4