Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯
deep learning methods and machinelearning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other More ❯
as Java, C++, Python, or related. Experience with neural deep learning methods and machine learning. Familiarity with modeling tools like R, scikit-learn, SparkMLLib, MxNet, TensorFlow, numpy, scipy. Experience with large-scale distributed systems such as Hadoop, Spark. Amazon is an equal opportunity employer. For accommodations during the application More ❯
learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an equal opportunities More ❯
