Senior Machine Learning Engineer-Data Science Platform
| Company | Visa |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA, JD, MD |
| Experience Level | Senior |
Requirements
- 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD)
Responsibilities
- Help build machine learning solutions to enhance merchant data
- Discover insights
- Ensure data quality
- Power cross functional peers to unleash merchant data potential
Preferred Qualifications
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- Skilled in SQL, Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebook
- Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and Query Engines
- Relevant experiences in modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, natural language processing or neural networks
- Experience in Automation framework such as Airflow, Metaflow
- Experience in MLOps and production machine learning systems at large scale
- Experience in DevOps and CI/CD tooling and concepts such as docker and Jenkins
- Experience in cloud services (AWS preferable – SageMaker, EMR, Glue)
- Understand ML infrastructure concepts such as feature store, batch inference and model pipeline orchestration