Deep Learning
Python
DockerAbout the Role
We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.
You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.
This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.
Key Responsibilities
- Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
- Train and optimize models for realistic facial reenactment and temporal consistency.
- Work with GANs, VAEs, and diffusion models for video synthesis.
- Handle dataset creation, cleaning, and augmentation for face-video tasks.
- Collaborate with the AI core team to deploy trained models in production environments.
- Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.
Required Qualifications
- B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
- Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
- Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
- Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
- Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
- Good grasp of data preprocessing, model evaluation, and performance tuning.
Preferred Skills
- Prior hands-on experience with face-swap or lip-sync frameworks.
- Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
- Knowledge of multi-GPU training and model optimization.
- Familiarity with Rust / Python backend integration for inference pipelines.
What We Offer
- Work directly on production-grade AI video synthesis systems.
- Remote-first, flexible working hours.
- Mentorship from senior AI researchers and engineers.
- Opportunity to transition into a full-time role upon outstanding performance.
Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months
Shubham Vishwakarma
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