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Job Description: Pay Range: $55hr - $60hr Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL. Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch. Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance. Use tools like Python, TensorFlow, PyTorch, SQL, and cloud platforms. Stay ahead with evolving technologies and guide strategic data initiative. Requirements: Bachelor and/or Masters degree in either one of the disciplines: Computer Science, Statistics, Data Science, Data Analytics, Machine Learning. Python, PySpark, SQL. Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker. Supervised learning models: Regression, Classification. Unsupervised learning models: Anomaly detection, clustering. Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models. Model evaluation, cross validation, hyper parameters tuning. Scikit-Learn, TensorFlow, PyTorch.
Sprachkenntnisse
- English
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