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InstaCAD Solutions
South Asia

AI/ML Intern (Paid Internship)

Mumbai, India
2026-04-28

Role Description

**Job Title: AI/ML Intern \| Paid Internship \| Python, C#, Java \| Immediate Joiners Preferred** **Location:** Thane **Duration:** 3 Months **Stipend:** ₹5,000 per month **Job Type:** Full-Time Internship **Job Summary:** We are hiring a passionate AI/ML Intern who is eager to build a career in Artificial Intelligence and Machine Learning. This is a paid internship offering hands-on experience in real-time projects involving classification, clustering, and model development. This role is ideal for candidates searching for **“AI/ML Internship”, “Machine Learning Internship”, “Python Internship”, or “Data Science Internship”**. **Key Responsibilities:** * Perform data preparation and preprocessing * Work on data annotation and dataset creation * Assist in feature extraction and engineering * Develop and support classification and clustering models * Help in model training, validation, and testing * Analyze model performance and suggest improvements * Maintain proper documentation of work **Required Skills:** * Basic knowledge ofArtificial Intelligence \& Machine Learning concepts * Understanding of Object-Oriented Programming (OOP) * Knowledge of Python (preferred) * Basic knowledge of C# or Java (mandatory) * Familiarity with data handling techniques * Good analytical and problem-solving skills **Eligibility:** * B.E / B.Tech / BSc / MSc (Computer Science, IT, AI, Data Science or related fields) * Freshers and students can apply **Perks \& Benefits:** * ₹5,000/month stipend (Paid Internship) * Internship Completion Certificate * Informal dress code * Real-time project exposure * Skill development in AI/ML domain **Additional Details:** * Immediate joiners preferred * Candidates should be serious about learning and contributing * Performance-based future opportunities may be offered Pay: ₹5,000\.00 per month Ability to commute/relocate: * Wagle Estate, Thane, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

AI/ML Intern (Paid Internship)

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