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AI/ML Infrastructure Engineer (Fashion AI / Generative AI)

HTG Collective Pvt Limited
Remote

Quick apply

Job details

Part-time | Full-time
From ₹25,000 a month

Qualifications

Photography
CI/CD
Image processing
Kubernetes
Git
E-Commerce
AWS
Docker
JavaScript
Continuous integration
Redis
OpenCV
GitHub
S3
AI
Python

Full job description

About The Role

You will lead the design and deployment of:

photorealistic AI fashion generation systems,
GPU inference pipelines,
SDXL-based multi-stage rendering,
high-resolution upscaling,
ethnicity-aware model systems,
garment preservation architecture,
and scalable AI infrastructure.

This is NOT a standard web engineering role.

We need someone deeply experienced in:

Stable Diffusion ecosystems,
GPU optimization,
AI orchestration,
model fine-tuning,
and production-scale image generation systems.

Core ResponsibilitiesAI Fashion Generation Pipeline

Design and optimize:

SDXL generation workflows
multi-stage diffusion pipelines
LoRA orchestration
ControlNet pose conditioning
IPAdapter garment preservation
fashion relighting systems
face consistency pipelines
high-resolution image refinement

High-Fashion Image Quality

Implement:

HDRI lighting systems
studio lighting presets
beauty dish simulation
cinematic fashion relighting
skin-tone accurate rendering
luxury editorial aesthetics
photorealistic skin textures
fabric detail preservation

Garment Preservation System

Build and optimize:

segmentation pipelines using SAM2
garment detection using GroundingDINO
IPAdapter conditioning
ControlNet Tile workflows
texture-preserving diffusion refinement

Goal:Maintain accurate garment fit, texture, logos, folds, and patterns across generations.

Ethnicity & Diversity Modeling

Develop:

ethnicity-specific LoRAs
skin tone calibration systems
demographic-aware relighting
weighted model pools
inclusive AI rendering systems

Must understand:

color science,
histogram balancing,
CIELAB calibration,
and realistic multicultural skin rendering.

High-Resolution Rendering Pipeline

Implement:

Generate 1024

Refine 1536

Upscale 2048

Tile Upscale 4096

Face Restore

Sharpen Fabric

Using:

SDXL latent upscale
RealESRGAN_x4plus
Tile Diffusion
GFPGAN
CodeFormer

Pose & Motion Systems

Build:

editorial pose libraries
runway poses
ecommerce poses
lifestyle poses
fashion motion systems

Using:

OpenPose
DW Pose
MediaPipe
ControlNet

AI Infrastructure & MLOps

Own:

GPU orchestration
Dockerized inference workers
CI/CD for AI pipelines
model deployment/versioning
autoscaling GPU systems
inference optimization
queue architecture
observability & monitoring

Required Technical SkillsMUST HAVEGenerative AI

Stable Diffusion XL (SDXL)
LoRA training
DreamBooth
Diffusers
ControlNet
IPAdapter
InstantID / PhotoMaker
ComfyUI workflows

Computer Vision

OpenCV
segmentation systems
pose estimation
image enhancement
relighting pipelines

Fashion AI Systems

Experience with:

fashion photography generation
garment preservation
editorial image generation
high-resolution AI upscaling
photoreal human rendering

AI Infrastructure

Python
FastAPI
PyTorch
CUDA
GPU optimization
TensorRT (bonus)
Triton Inference Server (bonus)

DevOps / Platform

Docker
Kubernetes / EKS
Redis / BullMQ
AWS GPU infrastructure
S3 / CloudFront
GitHub Actions CI/CD
Prometheus / Grafana
Sentry

Strong Bonus Experience

AI ecommerce systems
Virtual try-on pipelines
Human image synthesis
AI relighting
3D fashion pipelines
ComfyUI custom nodes
RunPod / LambdaLabs / Modal
Multi-GPU orchestration
AI inference optimization
Real-time generation systems

AI Stack We Use

Component

Stack

Base Models

SDXL

Pose

ControlNet

Identity

InstantID

Garment Preservation

IPAdapter

Segmentation

SAM2

Upscaling

RealESRGAN

Face Restoration

GFPGAN / CodeFormer

Backend

FastAPI + NestJS

Frontend

Next.js

Queue

BullMQ

Infra

AWS

CDN

CloudFront

Storage

S3 / R2

Monitoring

Prometheus + Grafana

Key Problems You Will Solve

Maintaining garment fidelity
Achieving luxury-grade realism
Consistent face identity
Accurate skin-tone rendering
High-quality 4K generation
GPU cost optimization
Inference speed optimization
Multi-ethnicity realism
Fashion-quality lighting systems
Production AI orchestration

Ideal Candidate

You are someone who:

understands both AI research and production infrastructure,
has built real-world diffusion systems,
can optimize GPU-heavy pipelines,
understands visual quality deeply,
and can scale AI systems reliably.

This role requires both:

engineering depth,
and aesthetic sensitivity.

Remote / Contract / Full-Time

Open to:

Remote
Contract
Fractional senior consultant
Full-time lead engineer

To Apply

Please include:

LinkedIn/GitHub
Portfolio or demos
Relevant AI fashion / diffusion work
GPU infrastructure experience
SDXL / LoRA / ControlNet projects
Any fashion-tech or image-generation experience

Pay: From ₹25,000.00 per month

Work Location: Remote

Quick apply

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stack engineer(node.js) (remote) jobs in remote

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