1. Interact with users to help identify their business problems and convert to cost-constraint machine learning tasks
2. Focus more on large-scale user behavior data ming and predictions
3. Research, prototype, and productionize the develop predictive models to solve the real-world problems
4. Share valuable findings and actionable suggestions to both business and technical audiences with clear visualization from convincing experiments
1. MS/Ph.D. in Computer Science, Statistics, Math, Physics, or Engineering
2. 3+ years of experience in building production-ready machine learning models
3. Strong collaboration skills with software and DevOps engineers to build production-level products
4. Good theoretical foundation of machine learning and data mining
5. Familiar with ML/DL related framework such as Scikit-Learn, TensorFlow, Keras, and PyTorch
6. Expertise in programming languages such as Python, Julia, or R
7. Fluency in SQL-like programming languages
8. Working Knowledge of AutoML framework and XAI
9. Experience in deploying models in the cloud (i.e., AWS or GCP) is a plus
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