Job Description

We are currently seeking a talented Senior Generative AI Engineer to join our dynamic team. An ideal candidate would be someone who has hands-on working experience with diffusion models, GANs and Transformers. As a leading platform in the field of 3D visualization and content creation (images, videos, AR viewers, and product configurators), we are looking to enhance our capabilities by integrating the power of AI and machine learning. This role will involve developing and implementing advanced machine-learning algorithms and models to empower our customers in creating realistic content efficiently. Together we will be working on multiple projects like 3D Model Generation using single product image, Product Image Generation with Custom Backgrounds.

 

Key Responsibilities

• Design, develop and implement state-of-the-art machine-learning algorithms and models to enhance our platform's capabilities and enable customers to create realistic content more efficiently.


• Utilize AI techniques to enable content generation through various modalities, including text, images, and drawings.


• Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate.


• Document research findings, methodologies, and implementations in clear and concise reports and presentations


• Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.

Requirements

 

• Total Experience of 5+ years and 3+ years relevant experience in developing and training Generative AI models.


• Must have a solid understanding of Generative AI models, including GANs, Diffusion models, Transformers.


• Solid understanding of machine-learning principles, algorithms, and techniques, with hands-on experience in developing and implementing machine-learning models.


• Proficiency in training image-based machine-learning models, with a proven track record of successfully applying them to real-world problems.


• Proficient in programming languages commonly used in machine learning, such as Python.

 

Good to have

• Prior experience in the field of 3D modelling, rendering, or computer graphics would be a plus.


• In-depth knowledge of computer vision algorithms, & image processing techniques.


• Experience with common computer vision tasks, such as object detection, image segmentation, and tracking


• Familiarity with languages like C++ and MATLAB, which are often employed in machine learning research and development would be an add-on.

Benefits

• Build products from scratch and be part of decision-making.


• Remote work mode


• Open culture with flexible timings

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