Studio: Famous Studios
Job Opening: Machine Learning Engineer (Generative AI)
Location: On-site
Duration: 3 to 6 Months (Contract)
Famous Studios is seeking a hands-on, builder-first Machine Learning Engineer to scale next-generation AI workflows across image, video, and audio production. We are looking for an engineer who moves beyond experimentation to ship production-grade AI systems. This role is a unique opportunity to work at the intersection of filmmaking heritage and cutting-edge GenAI technology. If you thrive in a fast-paced creative studio environment and specialize in high-performance GPU infrastructure, we want to hear from you.
Key Responsibilities
- Production-Grade Pipelines: Design and maintain scalable AI systems using Python and Docker.
- Generative Media Optimization: Scale and optimize workflows for SDXL, FLUX, ControlNet, and IPAdapter.
- Custom Tooling: Develop custom ComfyUI nodes and advanced automation systems.
- Audio & Speech: Build multilingual ASR (WhisperX) and diarization pipelines with a specific focus on Hindi.
- Identity Consistency: Solve complex video challenges involving facial consistency using InsightFace and LoRAs.
- Cloud Infrastructure: Manage deployments on CUDA, RunPod, and Lambda.
Requirements & Technical Skills
- Experience: Deep expertise in Diffusion models and Inference optimization.
- Technical Mastery: Advanced knowledge of ComfyUI nodes, FLUX/SDXL, and high-performance GPU infrastructure.
- System Management: Proven ability to manage GPU memory and scale workloads in live production environments.
- Mindset: A “ship-first” attitude with a preference for code over theory.
How to Apply
Ready to build the future of AI at Famous Studios? Please submit your application to our recruitment team:
Email: careers@famousstudios.com
Required: Please include your updated resume and a brief note about your most impressive production-grade AI project.