Employer will accept a Master's Degree in Computer Science, Statistics, Computer Information Systems, or Engineering and 2 years of experience OR a Ph.D. in Computer Science, Statistics, Computer Information Systems, or Engineering and completion of a Ph.D-level course, research project, internship, or thesis or one year of experience in the job offered or engineering-related occupation.
- Python, Spark, Java, Scala;
- AI/ML techniques, including neural networks, tree ensembles, regressions, and hypothesis testing;
- Data and Machine learning pipelines using Scikit-learn, Tensorflow, Spark ML (MLlib), Open CV;
- SQL, and data query languages;
- Architecting or delivering cloud solutions such, as Google cloud or AWS or similar platforms;
- Algorithms, such as ALS, Neural Nets, CNN, Clustering, personalization techniques, time series, NLP and image modeling;
- End-to-end lifecycle of Machine Learning systems or Machine Learning Engineering development;
- Delivering and supporting high impact solutions that scale across very large datasets to production;
- Track recording of delivering and supporting high impact solutions that scale across very large datasets to production;
- Lead and mentor team members;
- Partnering across product, architecture and engineering
- Lifecycle of model development from experimentation to production and measurement.
Rate of Pay: $183800 to $262037.30 per Year
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