Location: Remote (India-based preferred) Type: Full-time | Founding Team | High Equity Company: Flickd (www.flickd.in) About the Role We’re building India’s most advanced virtual try-on engine — think Doji meets TryOnDiffusion, but optimized for real-world speed, fashion, and body diversity. As our ML Engineer (Computer Vision + Try-On) , you’ll own the end-to-end pipeline : from preprocessing user/product images to generating hyper-realistic try-on results with preserved pose, skin, texture, and identity. 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.
As a Backend + DevOps Engineer Intern at Flickd, you will be part of a dynamic team working on a social shopping app that integrates trending videos with e-commerce. Flickd's platform leverages video streaming, machine learning, and messaging to provide users with a seamless shopping experience. The technologies used include Java, Spring Boot, and AWS for system development and scaling. Your role will involve developing and optimizing backend services while handling cloud deployments. This internship offers valuable hands-on experience in building scalable, high-performance systems. Your responsibilities will include developing and maintaining backend services using Java and Spring Boot, deploying and managing applications on AWS (EC2, S3, RDS, etc.), implementing CI/CD pipelines for smooth deployments, optimizing database performance (MySQL, NoSQL), and monitoring system performance to troubleshoot issues. To succeed in this role, you should have a strong understanding of Java, Spring Boot, and REST APIs. Familiarity with AWS services such as EC2, S3, IAM, and RDS is essential. Basic knowledge of Docker, Kubernetes, and CI/CD pipelines would be a plus. A problem-solving mindset and a willingness to learn are key traits we are looking for in candidates. In return, Flickd offers a monthly stipend of 12K+ (performance-based) during the internship period. There is also a potential full-time job opportunity with a competitive annual package of 10-12 LPA. The location of the internship is Saket, South Delhi, and it is an offline role. This internship provides you with the opportunity to work on real-world video streaming and e-commerce applications. If you are enthusiastic about backend development, DevOps, and working on cutting-edge technologies, we encourage you to apply now and become a valuable member of our amazing team at Flickd!,