
AI Infrastructure Engineer
2 weeks ago
Unlock the Power of AI and Data Science
We are seeking a skilled engineer to join our team in building cutting-edge AI infrastructure. This role combines machine learning, data science, and computer science to design and implement end-to-end ML pipelines for data gathering, analysis, and insights.
The ideal candidate will have strong expertise in AI/ML, with experience in 4–5 projects (end-to-end, not just experimental). Hands-on expertise in Audio Analysis and Computer Vision is a priority. A graduate or post-graduate degree from a reputed college/university is required.
Responsibilities:
- Design and implement ML pipelines for data gathering, analysis, and insights.
- Build data analysis layers for performance tracking and reusable asset creation.
- Develop ranking, scoring, and risk estimation frameworks for multimodal outputs.
- Integrate and benchmark LLMs, VLMs, and generative models (image, audio, video).
- Build APIs and services to support asset reuse and human-in-the-loop workflows.
- Optimize for compute efficiency, caching, and reproducibility.
Benefits:
- Work with cutting-edge multimodal AI models.
- Help shape the future of storytelling technology.
- Join a fast-growing, mission-driven organization.
About the Role:
- Strong foundation in data science (mandatory).
- Experience in AI/ML projects (end-to-end, not just experimental).
- Hands-on expertise in Audio Analysis and Computer Vision (priority).
Why Join Us?
We are a startup at the intersection of AI and media, building tools that help creators transform stories into production-ready video and connect with their fans. We offer a collaborative and dynamic work environment with opportunities for growth and development.
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