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TrueFan Reviews by Employees

Company Description : TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Company Overview : We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position : MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities : Model Training/Deployment Pipelines and Monitoring : - Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. - Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. - Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. - Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management : - Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. - Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. - Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration : - Work closely with ML engineers to integrate models into production pipelines. - Provide tools and frameworks for rapid experimentation and model versioning. Required Skills : - Basic Python - Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. - Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) - Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka - Deployed and Scaled AI/ML in Production. - Familiarity with deep learning frameworks (TensorFlow, PyTorch). - Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. - Basic understanding of ML models Preferred Qualifications : - Experience in image and video-based deep learning tasks. - Familiarity with media streaming and video processing pipelines for real-time generation. - Experience with real-time inference and deploying models in latency-sensitive environments. - Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance

Gurgaon/Gurugram

TrueFan - MLOps Engineer (5-7 yrs)

As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lipsyncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities : - Research & Develop : Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis. - End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. - Speech & Video Synchronization : Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. - Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. - Scaling & Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration & Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. - Experimentation & Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. - Code Quality & Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Qualifications : - Bachelor's or Masters degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, and image-to-video generation, audio to lipsync - Strong understanding of machine learning principles and statistical methods. - Good 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. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications : - Experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V). - Background in text-to-video generation, lipsync generation and real-time synthetic media applications. - 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.

Delhi NCR

TrueFan - Senior Machine Learning Engineer (2-7 yrs)

Role : Technical Project Manager Location : Gurugram. Team : Product & Engineering | Experience : 3-5 years. About TrueFan : At TrueFan, we're on a mission to revolutionize fan experiences. We blend technology, creativity, and celebrity engagement to deliver unforgettable moments for millions. Our team is growing fast and were looking for a Technical Project Manager who can turn ambitious ideas into seamless product launches. Your Mission : As a Technical Project Manager, you will be the bridge between vision and execution owning project lifecycles, ensuring on-time delivery, and driving cross-functional collaboration between product, engineering, and design teams. You won't just "manage" projects you'll shape the way we build. What You'll Do : - Lead technical projects end-to-end: from scoping to launch (and beyond). - Partner with engineering and product leads to define roadmaps, set priorities, and remove roadblocks. - Own sprint planning, standups, and retrospectives, keeping teams aligned and motivated. - Break down complex ideas into clear deliverables, timelines, and milestones. - Anticipate risks early and have a plan ready. - Drive quality and speed: Launch features that fans love without sacrificing stability. - Communicate across stakeholders (from developers to executives) with clarity and urgency. What Makes You a TrueFan : - 3 to 5 years of Technical Project Management experience in tech-driven companies or fast-scaling startups. - Strong technical understanding : You don't need to code, but you speak developer fluently. - Expert in Agile/Scrum methodologies, Jira, Confluence, and project tracking tools. - Sharp problem-solving skills and a bias for action. - Excellent communicator crisp, direct, and inspiring. - Thrive in fast-paced, evolving environments where "figuring it out" is part of the job. - Passion for consumer tech, entertainment, or fan-driven platforms? Major bonus!. Why You'll Love Working Here : - Work closely with top celebrities and a passionate fanbase. - Create products that touch millions of lives daily. - Be part of a dynamic, no-bureaucracy environment where ideas move fast. - Competitive salary + ESOPs. - A collaborative, smart, and fun-loving team

TrueFan - Technical Project Manager - Agile/Scrum Methodologies (3-5 yrs)

Role : Technical Project Manager Location : Gurugram. Team : Product & Engineering | Experience: 35 years. About TrueFan : At TrueFan, we're on a mission to revolutionize fan experiences. We blend technology, creativity, and celebrity engagement to deliver unforgettable moments for millions. Our team is growing fast and were looking for a Technical Project Manager who can turn ambitious ideas into seamless product launches. Your Mission : As a Technical Project Manager, you will be the bridge between vision and execution owning project lifecycles, ensuring on-time delivery, and driving cross-functional collaboration between product, engineering, and design teams. You won't just "manage" projects you'll shape the way we build. What You'll Do : - Lead technical projects end-to-end: from scoping to launch (and beyond). - Partner with engineering and product leads to define roadmaps, set priorities, and remove roadblocks. - Own sprint planning, standups, and retrospectives, keeping teams aligned and motivated. - Break down complex ideas into clear deliverables, timelines, and milestones. - Anticipate risks early and have a plan ready. - Drive quality and speed: Launch features that fans love without sacrificing stability. - Communicate across stakeholders (from developers to executives) with clarity and urgency. What Makes You a TrueFan : - 3 to 5 years of Technical Project Management experience in tech-driven companies or fast-scaling startups. - Strong technical understanding : You don't need to code, but you speak developer fluently. - Expert in Agile/Scrum methodologies, Jira, Confluence, and project tracking tools. - Sharp problem-solving skills and a bias for action. - Excellent communicator crisp, direct, and inspiring. - Thrive in fast-paced, evolving environments where "figuring it out" is part of the job. - Passion for consumer tech, entertainment, or fan-driven platforms? Major bonus!. Why You'll Love Working Here : - Work closely with top celebrities and a passionate fanbase. - Create products that touch millions of lives daily. - Be part of a dynamic, no-bureaucracy environment where ideas move fast. - Competitive salary + ESOPs. - A collaborative, smart, and fun-loving team.

About Us : TrueFan is at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Our mission is to redefine content generation space through advanced AI technologies, including deep generative models, text-to-video and image-to-video and lipsync generation. We are looking for a Senior Machine Learning Engineer with deep expertise in generative AI, including diffusion models, 3D VAEs and GANs to drive our research and development in AI-generated content and real-time media synthesis. Job Description : As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lipsyncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities : - Research & Develop : Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis. - End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. - Speech & Video Synchronization : Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. - Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. - Scaling & Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration & Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. - Experimentation & Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. - Code Quality & Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Qualifications : - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, and image-to-video generation, audio to lipsync. - Strong understanding of machine learning principles and statistical methods. - Good 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. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications : - Experience with transformers and vision-language models (e., CLIP, BLIP, GPT-4V). - Background in text-to-video generation, lipsync generation and real-time synthetic media applications. - 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.

TrueFan - Machine Learning Engineer - Data Modeling (3-8 yrs)

Job Description : As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lip syncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities : - Research and Develop : Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. - End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. - Speech and Video Synchronization : Develop advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. - Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. - Scaling and Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration and Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. - Experimentation and Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. - Code Quality and Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Requirements : - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs, and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync. - Strong understanding of machine learning principles and statistical methods. - Good 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. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications : - Experience with transformers and vision-language models(e. g., CLIP, BLIP, GPT-4V). - Background in intext-to-video generation, lipsync generation, and real-time synthetic media applications. - 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.

Others

TrueFan - Senior Machine Learning Engineer - Generative AI (3-6 yrs)

Job Title : Senior Machine Learning Engineer Location : Gurugram (Work From Office) Job Type : Full-Time Experience : 3+ yrs About Us : TrueFan is at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Our mission is to redefine content generation space through advanced AI technologies, including deep generative models, text-to-video and image-to-video and lipsync generation. We are looking for a Senior Machine Learning Engineer with deep expertise in generative AI, including diffusion models, 3D VAEs and GANs to drive our research and development in AI-generated content and real-time media synthesis. Job Description : As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lipsyncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities : - Research & Develop: Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis. - End-to-End Content Generation: Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. - Speech & Video Synchronization: Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. - Real-Time AI Systems: Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. - Scaling & Production Deployment: Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). - Collaboration & Research: Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. - Experimentation & Validation: Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. - Code Quality & Best Practices: Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Qualifications : - Bachelor's or Masters degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, and image-to-video generation, audio to lipsync. - Strong understanding of machine learning principles and statistical methods. - Good 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. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications : - Experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V). - Background in text-to-video generation, lipsync generation and real-time synthetic media applications. - 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.

Senior Machine Learning Engineer - Python/Deep Learning (3-6 yrs)

Job Title : Computer Vision Engineer. Location : Gurugram (Work From Office). Job Type : Full-Time. About Us : TrueFan is at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Our mission is to redefine content generation space through advanced AI technologies, including deep generative models, text-to-video and image-to-video and lipsync generation. We are looking for a Senior Machine Learning Engineer with deep expertise in generative AI, including diffusion models, 3D VAEs and GANs to drive our research and development in AI-generated content and real-time media synthesis. Job Description : As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation, including AI-driven image/video generation, lipsyncing, and multimodal AI systems. You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities : Research & Develop: Design and implement state-of-the-art generative models, including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis. End-to-End Content Generation: Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Speech & Video Synchronization: Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Real-Time AI Systems: Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Scaling & Production Deployment: Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure). Collaboration & Research: Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. Experimentation & Validation: Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, and refine model architectures. Code Quality & Best Practices: Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. Qualifications : - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - 3+ years of experience working with deep generative models, including Diffusion Models, 3D VAEs, GANs and autoregressive models. - Strong proficiency in Python and deep learning frameworks such as PyTorch. - Expertise in multi-modal AI, text-to-image, and image-to-video generation, audio to lipsync. - Strong understanding of machine learning principles and statistical methods. - Good 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. - Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training. Preferred Qualifications : - Experience with transformers and vision-language models (e.g , CLIP, BLIP, GPT-4V). - Background in text-to-video generation, lipsync generation and real-time synthetic media applications. - 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.

Computer Vision Engineer - Machine Learning (3-6 yrs)

Position: SDE II Python Location: Gurgaon Experience: 3+ years Employment Type: Full-Time Job Responsibilities : - Develop, test, and maintain robust and scalable web applications using Python, Django, and FastAPI. - Collaborate with cross-functional teams to define, design, and ship new features. - Write clean, maintainable, and efficient code following best practices. - Troubleshoot and debug issues, providing timely resolutions. - Stay up-to-date with the latest industry trends and technologies to ensure our applications remain current and competitive. Core Competencies : - Python: Proficient in Python programming with a strong understanding of its ecosystem and libraries. - Django: Extensive experience in developing web applications using the Django framework, including views and RESTful APIs. - Database Management: Experience with relational databases ( MySQL) and proficiency in writing optimized SQL queries. - Celery: Hands-on experience with Celery for distributed task queue management. - Redis/RabbitMQ: Proficiency in using Redis and RabbitMQ for message brokering and caching. - NoSQL Databases: Proficiency with NoSQL databases, particularly MongoDB. - Version Control: Proficient with Git and version control practices. - Problem-Solving: Strong analytical and problem-solving skills with a keen attention to detail. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). - 3-4 years of professional experience in Python development. - Proven track record of developing and deploying web applications using Django and FastAPI. - Experience with cloud platforms (AWS, Azure, Google Cloud) is a plus. - Knowledge of containerization technologies (Docker).

Software Development Engineer II - Python/FastAPI (3-5 yrs)

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