Senior AI Developer – Generative Media

2 days ago

Anand, Gujarat, India beBeeAIEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Join a pioneering team at the forefront of generative video and synthetic media.

We're seeking an experienced AI Engineer to propel our product, focused on generative AI Video, across the finish line and scale it globally. With 70% completion, we need someone to take ownership in optimizing and fine-tuning generative AI models for video and audio.

Key Responsibilities
  • Omit unnecessary elements from diffusion, transformers, GANs-based video and audio models.
  • Design, build, and scale end-to-end ML pipelines (training, inference, deployment) for seamless integration with existing workflows.
  • Rationalize and refine complex audio/video workflows using OpenCV, FFmpeg, and moviepy.
  • Collaborate on effective strategies for integrating TTS/STT and AI image/video generation modules.
  • Develop deployment plans utilizing Docker, Kubernetes, and cloud inference servers.
  • Craft a plan for final bug fixes, performance improvements & production launch.
Qualifications
  • At least 5 years of experience in Python and AI/ML frameworks like PyTorch/TensorFlow.
  • A strong background in developing, deploying, and maintaining generative models for video, audio, and multimodal AI.
  • Familiarity with processing and analyzing audio/video data using relevant tools and libraries.
  • A proven track record of scaling AI products from prototype to production-ready.
  • Experience with cloud environments and large-scale model deployment (AWS/GCP/Azure).
Benefits
  • Opportunity to work on cutting-edge projects and technologies.
  • Flexible work arrangement with remote-friendly options.
  • Competitive compensation package and long-term growth opportunities.
  • A collaborative environment that fosters creativity, experimentation, and innovation.
How to Apply

Send us your CV, along with any relevant portfolio or GitHub links showcasing your AI and generative work. We're particularly interested in speaking with individuals who have successfully scaled models into production or built real-time video/audio pipelines.

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