Tensorflow/Serving Project

We are looking for finding an expert Tensorflow/Tensorflow Serving developer with rich experience on. This is a test phase to prove the capability with Tensorflow, and we will have more opportunities after test phase. You need to do following: Use provided data and two simple algorithms to train and test a predictive model for location fingerprinting: Partition data appropriately into training and testing sets. Create two simple algorithms that would train a predictive model using the provided data. For the purposes of this sprint, the models need not be particularly accurate. Apply algorithms to training data to develop predictive models. Compare models developed by the two algorithms in an A/B test. Use Apache airflow to instantiate analytics workflow for training and testing: Use airflow to extract data from data store and pass to analytics environment. Use airflow to load algorithm in analytics environment. Use airflow to configure and instigate model training. Use airflow to instigate model A/B test. Use airflow to serve training and testing results, including model learning and performance. Use airflow to store A/B test results. Use TensorFlow/Serving to show model efficacy in steel-thread UI. Show model accuracy for algorithms in UI. Show model learning in UI. Show model A/B test results in UI. I will provide the data sets, and some detailed data for data sets. Please ask me if you have any concern or need any required data. Thank you. There are sample data set file and detail: Data Set: [login to view URL] Detail: [login to view URL]