Applied Scientist

Location: Gurgaon

Function: Applied AI Engineer (Vision/GenAI)

Type: Full-time

The Role

As an Applied AI Engineer, you'll deploy advanced vision-language models to power a personalised, photorealistic user experience. Your work will focus on fine-tuning and integrating models like Stable Diffusion,LoRA, and CLIP into real-time pipelines, optimizing them for user delight, performance, accuracy, and eventually costs.You will collaborate closely with product and design teams to bring generative AI capabilities to deliver a novel dating experience.

What You'll Do

• Build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP , BLIP) for personalised and authentic user profile visuals.
• Fine-tune LoRA models to reflect a user's best version while maintaining identity integrity.
• Design scalable APIs for image generation, editing, and personalization.
• Work with UX/design to integrate image-generation flows that feel intuitive and delightful
• Optimise models for mobile performance, fast inference, and cost efficiency.
• Collaborate closely with product, backend, and ML researchers to productionize ideas.

Ideal Profile :

• We are looking for a hands-on applied AI/ML engineer with expertise in generative vision models like Stable Diffusion, and some track record of building real-time, personalised generative AI experiences.
• Experience with computer vision, generative models, or deep learning.
• Experience working with Stable Diffusion, LoRA training, and prompt engineering.
• Exposure to different vision-language architectures like Flux, CLIP , BLIP etc.
• Proficient in PyTorch or equivalent ML frameworks.
• Strong understanding of image pipelines, dataset curation, and captioning.
• Experience deploying ML models on cloud-based services ( at minimum Replicate, Hugging Face Spaces and preferably on GPUs).
• Comfortable writing production-ready Python, working with versioned models and real-time inference stacks.
• Passionate about building beautiful, human-centred AI experiences.

Nice to Have

• Prior experience with personalisation, avatars, or face-preserving generative models.
• Contributed to open-source vision models or fine-tuning libraries.
• Experience in a startup or fast-paced product-focused team.