Qualifications
- High scientific understanding of the field of generative AI. This means a broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications
- High technical engineering competence. This means being able to design complex software and make them usable in production
- Be able to navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage
- Occasionally be able to do front-end development, and have to use complex HPC infrastructure with full autonomy
- Hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax)
- Have experience working with large distributed systems
- Self-starter and autonomous
- Low-ego
- Collaborative and have a real team player mindset
Now, it would be ideal if you have;
- Audio/Speech experience - audio input/out, NLP etc