AI Engineer / AI Visualizer

Mukesh & Associates; Salem; Hybrid; INR 10,00,000 - 15,00,000; Full time

Job summary

A technology consulting firm is seeking an AI Engineer / AI Visualizer in Salem, Tamil Nadu. The ideal candidate will have strong expertise in Computer Vision and Machine Learning, with hands-on experience in tools like Stable Diffusion and TensorFlow. Responsibilities include fine-tuning generative models and building APIs. This hybrid role offers the opportunity to work on innovative AI-driven visual content.

Qualifications

• 3+ years in Computer Vision and Machine Learning.
• Proficient in Python and OpenCV.
• Experience with TensorFlow, PyTorch, or Keras.
• Skilled in model fine‑tuning for AI visual applications.

Responsibilities

• Fine-tune and deploy generative models.
• Implement inpainting, outpainting, and style transfer.
• Build and maintain Inference APIs for image generation.
• Enhance image quality through upscaling models.

Skills

Computer Vision

Machine Learning

Python

OpenCV

TensorFlow

PyTorch

Keras

Tools

Stable Diffusion

SDXL

Flux

ControlNet

LoRA

Docker

Kubernetes

AWS

Azure

GCP

Job description

Job Title: AI Engineer / AI Visualizer

Work Location: Salem, Tamil Nadu (Hybrid)

About Us

BuildingWorld is a stealth‑mode startup quietly building a marketplace aimed at reshaping India’s construction ecosystem.

BuildingWorld is backed by the strategic guidance of Mukesh & Associates (www.mukeshassociates.com)

Please send your updated CV to [e-mail] if you’re interested.

Role Overview

We are looking for a creative and technically adept AI Visualizer with deep expertise in Computer Vision and Generative AI. The ideal candidate will have hands‑on experience with Stable Diffusion, SDXL, Flux, ControlNet, and LoRA, and a strong foundation in deep learning frameworks and image processing tools. This role blends artistic innovation with engineering precision to push the boundaries of AI‑generated visual content.

Key Responsibilities

• Fine‑tune and deploy generative models (Stable Diffusion, SDXL, ControlNet, LoRA)
• Implement inpainting, outpainting, style transfer, and dynamic adapter loading
• Build and maintain Inference APIs for image generation workflows
• Integrate upscaling models (Real‑ESRGAN, SwinIR) to enhance image quality
• Apply content safety filters for NSFW/violent imagery
• Optimize GPU usage and model caching for faster inference
• Deploy solutions via cloud platforms using Docker & Kubernetes

Required Skills & Qualifications

• 3+ years in Computer Vision and Machine Learning
• Proficient in Python, OpenCV, and image processing libraries
• Experience with TensorFlow, PyTorch, or Keras
• Skilled in model fine‑tuning and AI‑driven visual applications
• Familiar with REST/GraphQL APIs, SQL/NoSQL databases
• Cloud deployment experience on AWS, Azure, or GCP
• Proficient in Docker, Kubernetes, and CI/CD workflows