Experience candidate in AL/ML, mainly to optimize multiple ml models and create efficient ml models?
Hands on with LLMs and optimize LLMs.
Basic knowledge on GCP services.
Extensive hands on pytorch and Tensor . which to use ?in what scenarios?
GPU efficient usage and optimization the resources
Hands on on different ML models creation
How to tune different parameters in ml models? And in llms?
Exposure to create data pipelines in ML is also required.
Exposure to prompt engineering as well.
Exposure to AI tools in GCP like vertex AI,etc. required.
Hands on in Jupiter lab required.
Customer is looking for someone who can independent work & solve different problems from downstream applications and efficiently use the AI / ML Models LMS and to optimize them.