AI/ML Intern

About the Role

SkillzenLoop is hiring AI/ML Interns for a Full-Time Internship. This is a Remote Internship lasting 1–3 Months with a stipend of ₹13,500 per month. The internship is designed for freshers and entry-level candidates seeking practical exposure to implementation-focused AI and machine learning systems.

Key Responsibilities

• Support AI and machine learning workflow activities.
• Assist in structured dataset preparation, organization, and analytical tasks.
• Participate in implementation-focused predictive and AI-related assignments.
• Support documentation related to analytical systems and technical workflows.
• Assist in identifying patterns, trends, or observations from datasets.
• Participate in structured execution tasks aligned with AI and ML support systems.
• Maintain organized technical records and workflow consistency.
• Support operational discipline within analytical and intelligent technology environments.
• Assist in improving execution quality across structured AI/ML workflows.
• Collaborate on practical analytical and predictive system assignments.

Eligibility Criteria

• Freshers or candidates pursuing/completing degrees in Artificial Intelligence, Data Science, Computer Science, Statistics, Mathematics, or related disciplines.
• Strong interest in machine learning, predictive systems, or intelligent technologies.
• Comfortable working in a structured remote technical environment.
• Candidates seeking practical exposure to implementation-focused AI and ML systems.

Required Skills

• Basic understanding of programming fundamentals.
• Analytical and logical reasoning capability.
• Structured problem-solving mindset.
• Awareness of machine learning or AI concepts.
• Documentation and workflow discipline.
• Attention to detail and execution consistency.
• Ability to manage assigned technical tasks independently.

Preferred Skills (Optional)

• Familiarity with Python or analytical libraries.
• Basic understanding of data analysis or predictive modeling concepts.
• Academic or personal AI/ML-related projects.
• Awareness of structured analytical workflows or automation systems.

What You Will Gain

• Practical exposure to AI and machine learning workflows.
• Experience working with structured analytical systems.
• Understanding of predictive technologies and implementation environments.
• Technical documentation and workflow discipline.
• Exposure to implementation-focused AI/ML projects.
• Mentorship in practical analytical and intelligent technology systems.
• Certificate of completion based on internship performance.