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niQin shared an aphorism: 为何天意总让年轻人承载悲痛？我不知道。但我想年龄会加深所有的情感，包括悲痛。 -- 电影《利刃出鞘》
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Algorithm & Library JMeter Metrics & Load Test Setup freelancer Recommended

Data aggregation at 2024-04-28 03:28:18+08:00

Investment: 700 dollars (USD) - Negotiated Hits: 157

Project keys/tags: ai-hw-sw software-testing pytorch aws-sagemaker nlp-tokenization

I'm looking for a performance engineer with strong experience in JMeter and load testing. The project involves setting up a test scenario in JMeter, focusing on the following metrics: \- Response time \- Throughput \- Error rate \- JMeter latency \- 2000 user simulation Additionally, I aim to achieve an accuracy level above 90% in the test process. The test will be conducted using datasets from Korean language datasets like ParaQue on Huggingface. Key responsibilities include: \- Setting up JMeter for the specified metrics \- Creating a load test scenario with 2000 user simulation \- Ensuring test accuracy above 90% \- Utilizing Korean language datasets for the test Ideal candidates should have: \- Proven experience in JMeter and load testing \- Familiarity with the specified metrics \- Kno...

Algorithm & Library AWS Sagemaker Expert for Model Deployment freelancer Recommended

Data aggregation at 2024-04-15 04:00:36+08:00

Investment: 700 dollars (USD) - Negotiated Hits: 183

Project keys/tags: r-programming-language amazon-web-services amazon-s3 aws-sagemaker model-deployment

As a client, I'm on the hunt for a professional Cloud Engineer who excels in AWS Sagemaker and RStudio. Responsibilities: \- Primarily, your responsibility will rest on deploying a R project to AWS. Skills and Experience: \- A concrete understanding of data preprocessing and model training is necessary, although the principal task is model deployment. \- Sound comprehension of deploying a model that utilizes clustering, in the realm of unsupervised learning, will be advantageous. \- Prior experience with AWS Sagemaker and RStudio is of the essence. The perfect candidate will be well versed in the advanced use of AWS Sagemaker and RStudio to successfully deploy a supervised learning model.