Job TitleLocation: San Diego (onsite)Lead development of advanced machine learning and statistical modelsDesign scalable data pipelines using PySparkPerform data transformation and exploratory analysis using Pandas, Numpy and SQLBuild, train and fine tune machine learning and deep learning models using TensorFlow and PyTorchMentor junior engineers and lead code reviews, best practices and documentationDesigning and implementing big data, streaming AI/ML training and prediction pipelinesTranslate complex business problems into data driven solutionsPromote best practices in data science, and model governanceUse tools like Python, TensorFlow, PyTorch, SQL, and cloud platformsStay ahead with evolving technologies and guide strategic data initiativeRequirements:Bachelor and/or Masters degree in either one of the disciplines: Computer Science, Statistics, Data Science, Data Analytics, Machine LearningPython, PySpark, SQL Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and SagemakerSupervised learning models: Regression, ClassificationUnsupervised learning models: Anomaly detection, clusteringDeep Learning Autoencoders, CNN