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Position : AI ML/LLM engineer
Location : Charlotte, NC(Hybrid)
OPEN ON W2 only
Job Description:
6+ years of professional experience in data engineering.
Develop and deploy data processing solutions on Google Cloud Platform (Google Cloud Platform)
Design, develop, and maintain robust and scalable data pipelines using Python and Apache Spark.
Good Experience in LLM and GPU Clusters.
Implement and manage data workflows using Apache Airflow for scheduling, monitoring, and alerting.
Apache Kafka for real-time data streaming, and distributed computing frameworks.
Experience in
configuring and managing GPU and Google Cloud Platform (TPUs, GPU instances)
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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