Ai Intern

3 days ago


Mumbai Maharashtra, India Codezen Tech Solutions Full time

**Internship Overview**

Join us as an AI Developer Intern to gain hands-on experience in building and deploying computer-vision and LLM-based solutions. You’ll work alongside senior engineers to develop object detection/tracking models (LLM, YOLOv8/11), assist with face-recognition pipelines, and help maintain our GPU-powered servers.

**What You’ll Do**
- Assist in data collection, annotation, and preprocessing for video datasets.
- Train and fine-tune YOLOv8/11 models under mentor guidance.
- Prototype face-recognition solutions using pre-trained LLM embeddings.
- Help deploy models on Linux servers; learn SSH, Docker, and GPU setup.
- Participate in code reviews, stand-ups, and technical brainstorming sessions.

**What We’re Looking For**
- Currently pursuing a B.Tech/M. Tech in CS, EE, AI, or related field, or graduated
- Solid foundation in Python, with coursework or projects using PyTorch/TensorFlow.
- Basic understanding of computer-vision concepts (object detection, tracking, face recognition).
- Familiarity with the Linux command line and SSH.
- Eagerness to learn GPU computing and server management.
- Strong problem-solving skills and the ability to work in a team.

**What You’ll Gain**
- Real-world experience deploying AI solutions end-to-end.
- Mentorship from senior AI engineers.
- Exposure to GPU infrastructure and MLOps practices.
- Opportunity to contribute to production-grade code.
- Letter of recommendation and potential for a full-time offer.

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

Pay: ₹10,000.00 - ₹15,000.00 per month

**Benefits**:

- Flexible schedule
- Paid sick time
- Paid time off
- Provident Fund

Schedule:

- Day shift
- Fixed shift

Supplemental Pay:

- Performance bonus
- Yearly bonus

Ability to commute/relocate:

- Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (preferred)

**Experience**:

- AI: 1 year (preferred)

Willingness to travel:

- 100% (preferred)

Work Location: In person


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