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Computer Vision (GEN AI) @ Spyne

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 Computer Vision (GEN AI)

Job Description

We are looking for a Computer Vision Researcher - Diffusion Models to lead advancements in image generation, model fine-tuning, and scalable AI deployment . You will work with cutting-edge AI techniques , optimizing diffusion-based models for high-quality image synthesis and production applications.
The ideal candidate is a problem-solver, AI researcher, and engineer who thrives in innovation-driven environments. If you love pushing the boundaries of generative AI and diffusion models , this role is for you!
Location : Gurugram (Work from Office, 5 days a week)
Role : Full-time, Computer Vision Engineer - Diffusion Models

What Will You Do?
  • Fine-tune diffusion models to enhance image quality, resolution, and style adaptability .
  • Optimize prompt engineering techniques to refine and control image generation outputs .
  • Develop post-processing and ranking algorithms to improve the accuracy and aesthetics of generated images.
  • Integrate diffusion models with other AI techniques , including GANs, transformers, and hypernetworks , to expand generative capabilities.
  • Deploy AI models into production environments , ensuring scalability and efficiency .
  • Utilize containerization tools (Docker, Kubernetes, etc.) to streamline AI model deployment .
  • Collaborate with AI researchers and product teams to bring AI-powered image generation solutions into real-world applications.

What You Must Have?

Education & Experience
  • BTech/MTech/MS in Computer Science, AI, or a related field .
  • 2+ years of experience working with Generative AI and Computer Vision .
Technical Expertise
  • Strong expertise in diffusion models, generative AI, and image processing .
  • Hands-on experience with model fine-tuning and optimization .
  • Understanding of ControlNets, hypernetworks, and AI-based prompt engineering .
  • Proven track record in AI model deployment and scalable pipelines .
  • Experience working with production-grade AI workflows and cloud-based solutions .

Problem-Solving & Collaboration
  • Strong debugging skills - Ability to troubleshoot model failures and optimize performance.
  • Team player mindset - Comfortable working with cross-functional teams .
  • Excellent communication & presentation skills - Ability to explain research concepts clearly.
Work Setup & Mindset
  • Comfortable working in a high-performance, in-office environment .
  • Takes ownership from Day 1 , proactively solving challenges.

Job Classification

Industry: Internet
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Spyne
Location(s): Noida, Gurugram

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