Artificial Intelligence (AI) Internship

Mandatory Requirements: Note- Candidates applying for internship must have authorisation from there respective college/ university and PAID stipends will be awarded only to eligible candidates who achieve specified benchmark requirements (i.e. quality deliverables and 100% commitment).

Artificial Intelligence (AI) Internship

Location: [Remote]

Duration: [Minimum 60 Working Days]

Responsibilities:

• Collaborate with the team to develop and implement machine learning models and algorithms.
• Assist in data collection, cleaning, and preprocessing for AI projects.
• Conduct research on AI-related topics and stay updated with the latest advancements.
• Participate in brainstorming sessions to ideate innovative AI solutions.
• Support the development of AI applications, including natural language processing (NLP), computer vision, and recommendation systems.
• Work on proof-of-concept projects and contribute to the overall AI strategy.
• Responsible for implementing AI system and full stack software application
• Analyze and interpret AI model results and provide actionable insights.
• Document experiments, findings, and code for future reference.

Qualifications:

• Pursuing a degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python or another relevant language.
• Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with LLM's/prompting, RAG, fine-tuning
• Familiarity with Full Stack Development (e.g., Django, Java, GoLang, React, UI/UX dev stack,etc)
• Basic understanding of neural networks, deep learning, and statistical modeling.
• Excellent problem-solving abilities and attention to detail.
• Good communication skills and ability to work in a team.

Benefits:

• 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.
• Stipend: [PAID stipends will be awarded only to eligible candidates who achieve specified benchmark requirements (i.e. quality deliverables and 100% commitment)]