Computer Vision Researcher (gen Ai) Job in Spyne
Computer Vision Researcher (gen Ai)
- Gurgaon, Haryana
- Not Disclosed
- Full-time
Job Title: Computer Vision Researcher Diffusion Models (Generative AI)
Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week)
Experience: 2+ Years in Generative AI & Computer Vision
Who We Are Driving the Future of Automotive AI
At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually.
- Backed by $16M Series A funding (Vertex Ventures, Accel, and more)
- Expanded into US & EU markets
- Launched industry-first AI-powered 360 imaging solutions
- 5x revenue growth in 15 months, targeting 3 4x more this year
- Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships
Role Overview: Computer Vision Engineer Diffusion Models
We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models.
Key Responsibilities
- Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability.
- Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies.
- Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy.
- Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs.
- Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services.
- Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms.
- Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack.
Ideal Candidate Profile
Education & Background
- B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field
- 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI
Technical Expertise
- Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs)
- Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures
- Proficient in prompt engineering and guided image generation techniques
- Solid foundation in image processing, deep learning, and model optimization
- Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes)
- Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries
Soft Skills & Mindset
- Strong analytical and debugging skills able to troubleshoot models in research and production
- Excellent communication able to present complex ideas simply
- A team-first mindset collaborative, adaptable, and ownership-driven
- Comfortable in a fast-paced, office-first environment focused on innovation and rapid development
Why Join Spyne?
At Spyne, we build careers, not just roles in an innovation-first, people-centric culture.
Employee Benefits & Perks
- Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI)
- Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1
- Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges
- Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person
- Equity for Top Talent Competitive salary with stock options for high performers
Ready to Shape the Future of Generative AI?
If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world.
Apply Now to be part of Spyne s GenAI journey!
Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

