Computer Vision Engineer - Machine Learning TrueFan AI

3.0 - 7.0 years

0 Lacs

haryana

On-site

As a Senior Machine Learning Engineer at TrueFan in Gurugram, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation using AI-driven technologies. Your responsibilities will include working on advanced generative models such as Diffusion Models, 3D VAEs, and GANs to create highly realistic AI-generated media. You will collaborate with software engineers to deploy models efficiently on cloud-based architectures and stay updated with the latest trends in deep generative models and transformer-based vision systems to enhance content quality. Your main responsibilities will revolve around designing and implementing state-of-the-art generative models, building AI pipelines for image/video generation and lipsyncing, developing lipsyncing and multimodal generation models for hyper-realistic content, implementing real-time content generation systems, and conducting experiments to evaluate and improve model performance. Additionally, you will participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques, reinforcement learning, and large-scale AI model training are also required. Preferred qualifications include experience with transformers and vision-language models, a background in text-to-video and lipsync generation, familiarity with cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content.,

Posted 2 weeks ago

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Senior ML Engineer TrueFan AI

3.0 - 7.0 years

0 Lacs

haryana

On-site

As a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis would be advantageous.,

Posted 1 month ago

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