Experience using Natural Language Processing NLP models to transform text data into numerical representations. Experience using feature importance and SHAP values to explain Machine Learning ML models. Experience building treebased Machine learning models Random Forest and GBM for classification tasks. Experience building data analytics and machine learning pipelines using Python. Experience performing business analytics using SQL. Experience automating data ETL pipelines with Airflow. Experience using PyTorch to finetune pretrained deep learning models from Hugging Face. Experience using TensorFlow to build LSTM based deep learning classification models. Experience deploying Machine Learning ML models in production systems. Experience using Presto SQL to query big data databases and build Machine Learning ML model training data. Experience using HQL to query Hive tables to perform business analysis. Employer will accept any amount of experience with the required skills.br br Continued from Sections H.4B H.10B Minimum education and experience required Masters degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years of experience in an analytics related field; OR Bachelors degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years of experience in an analytics related field.
Categories: eb3
0 Comments