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Mumbai, India
2026-04-28
InstaCAD Solutions
South Asia
AI/ML Intern (Paid Internship)
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