Artificial Intelligence Engineer
This is a rare opportunity to be part of a pioneering team in the field of quantum and AI. The company has developed groundbreaking technology that is transforming AI by compressing large language models by up to 95% and cutting inference costs by 50–80%.
- The Role: Design, deploy, and monitor end-to-end ML/LLM pipelines from data acquisition to production.
- Infrastructure & Automation: Scale cloud infrastructure using GitOps, CI/CD, Docker, and Kubernetes.
- Optimisation: Collaborate with AI Researchers to enhance model performance, resource utilisation, and truth analysis.
- Innovation: Stay at the forefront of LLMOps integrating the latest generative AI advancements.
The adecuado candidate will have experience working in public cloud environments (AWS/Azure) for more than three years.
The must-haves include expertise in model/data parallelism frameworks like DeepSpeed or FSDP,
generative stacks such as RAG or LLMs including GPT-4/Mistral
and hands-on experience with Azure tools like AKS/CycleCloud.
Pursuing an Engineering degree would make you eligible for this position.
Promises flexibility - relaxed work hours
A potential relocation package can be offered depending on what fits your needs better.