Ai/ml Intern

5 days ago

Thane, India SKIGIT Placement Full time

**SKIGIT PLACEMENT**

**Job Title**: AI/ML Intern
**Location**: Thane, Maharashtra, India

**Interview Address**:
SKIGIT Placement | RKDEMY House, 2nd Floor, New Matruvandana Society, Opp. Shivam Hotel, Sudarshan Colony, Thane East - 400603

**Interview Time**: 12:30 PM (Walk-in Interview, Monday to Saturday)

**About the Role**

We are seeking a passionate and motivated **AI/ML Intern** to join our technology team in Thane. This internship offers hands-on experience in developing, training, and deploying machine learning models, along with opportunities to work on full-stack integration and cloud-based deployment. You’ll get exposure to real-world projects, mentorship from experts, and the chance to sharpen both AI/ML and software development skills.

**Key Responsibilities:

- **
- Work with **Python**, **TensorFlow**, and **PyTorch** to build intelligent systems.
- Implement similarity-based retrieval tasks using **Faiss**.
- Integrate ML models into backend services using **Django REST Framework (DRF)**.
- Collaborate with front-end developers (HTML, CSS, JavaScript) for seamless product integration.
- Manage **MySQL** databases and **Redis** caching systems.
- Assist with debugging, performance optimization, and continuous pipeline improvements.

**Requirements:

- **
- Currently pursuing or recently completed a **Bachelor’s/Master’s degree** in Computer Science, AI, ML, Data Science, or related fields.
- Strong programming skills in **Python**.
- Basic knowledge of **machine learning concepts** and hands-on experience with **TensorFlow/PyTorch**.
- Familiarity with **Django REST Framework (DRF)**.
- Working knowledge of **MySQL, Redis, and Faiss**.
- Basic front-end skills**:HTML, CSS, JavaScript**.
- Exposure to **AWS services** (EC2, S3, Lambda, etc.) is a plus.
- Eager to learn, self-motivated, and enthusiastic about solving technical challenges.

**What You’ll Gain:

- **
- Exposure to full-stack development and cloud deployment.
- Mentorship from experienced developers and data scientists.
- Opportunity to work in a **fast-paced, innovative environment**.

**For more information**:
Hr Sachin: +91 9930927871 (Call & WhatsApp)

**Job Types**: Full-time, Permanent, Fresher

Work Location: In person

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