Data Scientist
INDIA - NOIDA- BIRLASOFT OFFICE, IN
Birlasoft
At Birlasoft we combine the power of domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!Area(s) of responsibility
Title - GenAI(Deepfake) Developer
Total Experience - 8+ Years of experience
Notice Period - 0-30 days
Location - Chennai/Noida/Pune/Bengaluru/Mumbai
Key Responsibilities:
• Develop and optimize deepfake models for realistic facial reenactment, lip-syncing, and full-body synthesis.
• Work with Generative Adversarial Networks (GANs), Autoencoders, and Neural Radiance Fields (NeRFs) for synthetic media creation.
• Implement voice cloning and text-to-speech (TTS) models to generate lifelike AI-generated voices.
• Fine-tune face-swapping, motion transfer, and image/video synthesis techniques.
• Enhance model efficiency using GPU acceleration, TensorRT, ONNX, and cloud-based scaling.
• Develop ethical safeguards to detect and prevent deepfake misuse.
• Work with LLMs (Large Language Models) and multimodal AI to generate contextual deepfake interactions.
• Optimize real-time deepfake rendering for live applications, such as virtual influencers, metaverse avatars, and digital assistants.
• Integrate deepfake solutions into media production pipelines, AR/VR experiences, and virtual training simulations.
• Collaborate with designers, developers, and researchers to push the boundaries of synthetic media technology.
Required Skills & Experience:
• 8+ years of experience in computer vision, deep learning, or generative AI.
• Strong proficiency in Python and frameworks like TensorFlow, PyTorch, and OpenCV.
• Hands-on experience with deepfake tools (DeepFaceLab, FaceSwap, First Order Motion Model, Wav2Lip, StyleGAN).
• Expertise in voice synthesis & cloning (Tacotron, FastSpeech, VITS, SV2TTS).
• Knowledge of image and video processing techniques, including facial landmark detection and motion tracking.
• Experience working with 3D modeling, neural rendering, and synthetic avatar creation.
• Strong understanding of adversarial training, latent space manipulation, and diffusion models.
• Experience deploying models using Flask, FastAPI, or cloud platforms (AWS, GCP, Azure).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Vision Deep Learning Diffusion models FastAPI Flask GANs GCP Generative AI GPU LLMs NeRFs ONNX OpenCV Pipelines Python PyTorch StyleGAN TensorFlow TensorRT VR
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