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Flickd
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ML Engineer – Virtual Try On + Computer Vision

ML Engineer – Virtual Try On + Computer Vision

Flickd

5 years

0 Lacs

New Delhi Delhi India

Posted:2 days ago| Platform:

Apply

Skills Required

ml vision preprocessing texture react devops design visual parsing auto segmentation sam data inference onnx latency estimation opencv flow stack pytorch docker redis aws mlflow ai github

Work Mode

Remote

Job Type

Full Time

Job Description

Location:

Type:

Company:

About the Role

India’s most advanced virtual try-on engine

ML Engineer (Computer Vision + Try-On)

You’ll have full autonomy to build, experiment, and ship — working directly with React, Spring Boot, DevOps, and design folks already in place.

This is not a junior researcher role. This is

one person building the brain of the system

- and setting the foundation for India's biggest visual shopping innovation.What You’ll Build

Stage 1: User Image Preprocessing

Human parsing (face, body, hair), pose detection, face/limb alignment
Auto orientation, canvas resizing, brightness/contrast normalization

Stage 2: Product Image Processing

Background removal, garment segmentation (SAM/U^2-Net/YOLOv8)
Handle occlusions, transparent clothes, long sleeves, etc.

Stage 3: Try-On Engine

Implement and iterate on CP-VTON / TryOnDiffusion / FlowNet
Fine-tune on custom data for realism, garment drape, identity retention

Inference Optimisation

TorchScript / ONNX, batching, inference latency minimization
Collaborate with DevOps for Lambda/EC2 + GPU deployment

Postprocessing

Alpha blending, edge smoothing, fake shadows, cloth-body warps

You’re a Fit If You:

Have
2–5 years
in ML/CV with real shipped work (not just notebooks)
Have worked on:
human parsing, pose estimation, cloth warping, GANs
Are
hands-on with PyTorch
, OpenCV, Segmentation Models, Flow or ViT
Can replicate models from arXiv fast, and care about output quality
Want to
own a system seen by millions
, not just improve metrics

Stack You’ll Use

PyTorch, ONNX, TorchScript, Hugging Face
DensePose, OpenPose, Segment Anything, Diffusion Models
Docker, Redis, AWS Lambda, S3 (infra is already set up)
MLflow or DVC (can be implemented from scratch)

For exceptional talent, we’re flexible on cash vs equity split.
Why This Is a Rare Opportunity

Build the core AI product
that powers a breakout consumer app
Work in a
zero BS, full-speed team
(React, SpringBoot, DevOps, Design all in place)
Be
the founding ML brain
and shape all future hires
Ship in weeks, not quarters — and see your output in front of users instantly

Apply now, or DM Dheekshith (Founder) on LinkedIn with your GitHub or project links.

Let’s build something India’s never seen before.

More Jobs at Flickd

ML Engineer – Virtual Try On + Computer Vision

New Delhi, Delhi, India

5.0 - 5.0 yrs

Salary: Not disclosed

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