Ai/ml Intern

3 days ago

Remote, India Sabhyasha Retail Tech Full time

We are building an advanced AI-based **Product Image Generation Engine** that will empower rural and social-sector sellers on our e-commerce platform to showcase their products in stunning, studio-like formats.

This system will use **Machine Learning, Diffusion Models, and Computer Vision techniques** to generate multiple e-commerce-ready product images from a single raw image uploaded by sellers.

**Key Responsibilities**:

- Work on AI/ML models (e.g. Stable Diffusion, ControlNet, Inpainting, GANs) for generating product images.
- Preprocess image data and build scalable training pipelines.
- Integrate the model with Google Cloud services (Vertex AI, Cloud Storage, etc.).
- Research and experiment with existing image generation frameworks and fine-tune them for e-commerce use cases.
- Ensure outputs meet real-world requirements (square crops, neutral backgrounds, product clarity, variation in angles).

**Preferred Skills**:

- Strong Python programming skills.
- Experience with AI/ML frameworks like **TensorFlow**, **PyTorch**, or **Diffusers**.
- Familiarity with **Google Cloud AI/ML stack** (Vertex AI, GCS, BigQuery).
- Knowledge of **computer vision**, **image enhancement**, and **generative models**.
- Experience with **OpenAI API**, **HuggingFace Transformers**, or **DALL-E/Stable Diffusion** is a plus.
- Basic understanding of Shopify or ONDC-based e-commerce ecosystems is desirable but not mandatory.

**What You’ll Gain**:

- Hands-on experience in one of the fastest-growing AI domains (Generative AI for commerce).
- Exposure to production-scale deployment using Google Cloud Infrastructure.
- Opportunity to work on a high-impact project empowering micro-entrepreneurs and rural artisans.

**Eligibility**:

- Final-year undergraduate or postgraduate student in Computer Science, Data Science, AI/ML, or related fields.

**Job Types**: Full-time, Fresher, Internship
Contract length: 6 months

Pay: ₹5,000.00 - ₹8,000.00 per month

Schedule:

- Day shift

Supplemental Pay:

- Performance bonus

Work Location: Remote

Application Deadline: 25/06/2025
Expected Start Date: 26/06/2025

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