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Senior Software Engineer, Data Science - LLM MLOps Platform
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$144,000 - $270,250 a year
Full-time
- Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
- You will work at the intersection of AI and software engineering, responsible for the design, development, and maintenance of the LLM MLOps platform at Nvidia.
- Build high performance data pipelines of Big Data solutions in real time for inferencing, training and ETL.Utilizing Data Engineering, ETL, machine learning technologies for training, inferencing and deployment of ML models into production applications.
- Experience using end-to-end MLOps platforms such as Kubeflow, MLFlow, AirFlow.
- Experience with extracting data from storage systems (e.g. Hive, Cassandra, S3, Swiftstack) and understanding of how big data processing systems (e.g. Spark or Map/Reduce) work and help scale the processes.
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