Computer Vision Engineer

Job Title: Machine Learning 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.

● 1+ 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.

How to Apply:

Interested candidates should submit their resume and a cover letter detailing their

experience with generative models and their contributions to relevant projects at

[Confidential Information].

TrueFan is an equal opportunity employer. We celebrate diversity and are committed to

• fostering an inclusive environment for all employees.