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.
Requirements :
BTech / MTech / MS in Computer Science, AI, or a related field.
4+ years of experience working with Generative AI and Computer Vision.
Strong expertise in LLMs, 3D vision, diffusion models, generative AI, and image processing.
Hands-on experience with model fine-tuning and optimization.
Understanding of Control Nets, 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.
Strong debugging skills - Ability to troubleshoot model failures and optimize performance.
Team player mindset - Comfortable working with cross-functional teams.
Excellent communication and presentation skills - Ability to explain research concepts clearly.
ref : hirist.tech)
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Senior Researcher • Gurgaon
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