AI/ML

AIML/LLM Engineer

Locations: Charlotte, NC (Hybrid), (3 days onsite/2 WFH)- Local is preference but flexible for relocation case also.

W2 Candidates EAD

Must have skill: LLM, Google Cloud Platform, GPU and Django

Required Skills:
API development, cloud-native architectures, and Generative AI frameworks like LLaMA, Mistral etc

FastAPI, Unicorn, and Swagger

Python, Apache Spark (PySpark), Kubernetes, Django

Apache Kafka for real-time data streaming, and distributed computing frameworks.

Experience in optimizing and deploying AI models on GPU clusters, leveraging parallel processing capabilities for large-scale deep learning and generative AI applications.

multi-GPU training and distributed computing frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod to accelerate AI/ML workloads.

configuring and managing NVIDIA GPU and Google Cloud Platform (TPUs, GPU instances)

9-10 years total experience.