Generative AI Engineer

Key Responsibilities :

• Design, develop, and deploy advanced image and video generation systems using deep learning models.
• Lead research and prototyping of diffusion, GAN, and transformer-based architectures for generative tasks.
• Optimize models for quality, speed, and scalability using accelerated compute (CUDA, TensorRT, etc.).
• Work with cross-functional teams (Product, Design, Frontend) to integrate AI pipelines into production apps or platforms.
• Contribute to system architecture and ensure reproducibility, versioning, and evaluation of models.
• Evaluate new advancements in generative AI and drive R&D to production transition.

Required Qualifications :

• 2+ years of hands-on experience in AI/ML with a strong focus on generative models.
• Proven experience working with video generation models (e.g., Sora, Gen-2 by Runway, Synthesia, or custom pipelines).
• Strong background in image generation using Diffusion Models (Stable Diffusion, DALL·E, Imagen) or GANs (StyleGAN2/3).
• Proficient in Python and deep learning libraries: PyTorch, TensorFlow, or JAX.
• Experience with training large-scale models using multi-GPU setups (e.g., DDP, DeepSpeed, or Hugging Face Accelerate).
• Solid knowledge of computer vision, image processing, and neural rendering techniques.
• Hands-on with model fine-tuning, LoRA/PEFT, ControlNet, DreamBooth, etc.

Preferred Tools & Frameworks :

• Stable Diffusion, DALL·E, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff
• ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, ModelScope
• FastAPI, Flask, or gRPC for serving models
• Streamlit, Gradio, or React (frontend) for rapid prototyping
• AWS / GCP / Azure, especially with GPU instances
• TorchServe, NVIDIA Triton, or Vertex AI for scalable model serving

Job Type: Full-time

Pay: Up to ₹800,000.00 per year

Benefits:

• Flexible schedule

Schedule:

• Day shift
• Monday to Friday

Experience:

• Machine learning: 2 years (Required)

Work Location: In person

Expected Start Date: 01/08/2025