Job Description

As a MLOps/LLMOps Engineer, you will be responsible for building and scaling cutting-edge LLM systems for clients in the field of quantum AI. This is a fantastic opportunity to own the full MLOps lifecycle in a fast-paced start-up environment alongside world-class AI and quantum experts.

Job Description

The ideal candidate will have 1+ years of experience as an ML/LLM engineer in public cloud platforms, with proven experience in MLOps, LLMOps and hands-on experience managing machine/deep learning models.

  • Distributed computing tools such as Ray and model parallelism frameworks like DeepSpeed are essential skills required for this role.
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