FMR LLC – $139,464.00/Year

CONTD FROM H.10B developing supervised and unsupervised Machine Learning ML and Artificial Intelligence AI algorithms.br br Education and Experiencebr br Bachelors degree or foreign education equivalent in Analytics, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five 5 years of experience in the job offered or five 5 years of experience developing supervised and unsupervised Machine Learning ML and Artificial Intelligence AI algorithms.br br Or alternatively, Masters degree or foreign education equivalent in Analytics, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and two 2 years of experience in the job offered or two 2 years of experience developing supervised and unsupervised Machine Learning ML and Artificial Intelligence AI algorithms.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE performing advanced statistical analytics to develop and evaluate supervised and unsupervised ML algorithms Regression, Decision Trees, Neural Networks, linear and mixed effect models, Feature Selection, HyperParameter tuning, and ranking models; and developing and evaluating supervised and unsupervised ML algorithms, using Python and ML libraries PyTorch, scikitlearn, Tensorflow, and Keras.br br DE launching ML models in remote compute servers and in online environments to perform data and runtime profiling of solutions to assess the efficacy of ML and AI algorithms experimental design, AB testing, performance monitoring, AI fairness evaluation, and bias mitigations.br br DE writing productionlevel code to deploy AI solutions and to achieve greater runtime performance and low latency according to Test Driven Development mindset, using caching mechanism and clientserver architecture; prototyping and deploying ML solutions, using Dockercontainers and Cloudbased environments Amazon Web Services AWS; and building service endpoints, using REST API, Flask, and Dash.br br DE designing time series analysis frameworks that perform risk analysis and backtesting for models ARIMA, LSTM, ANN, Linear Regression, and Random Forest.