Applied Scientist / Applied ML Engineer
Tolken · Remote
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Half of recent machine learning engineer adverts in the US (remote roles) state $175,250 to $260,050 a year. The middle is $208,125.
Required skills
- Machine Learning
- Statistics
- Python
- pandas
- Numpy
- Scikit-Learn
- Pytorch
- Tensorflow
- Etl
- Airflow
- Spark
- SQL
Nice to have
- A/B testing
- AML
- AWS
- GCP
- Azure
- Docker
- CI/CD
About the job
The Role We are looking for an Applied Scientist / Applied ML Engineer to design, build, and deploy machine learning models that power pricing, bidding, and decisioning on a cross-border payments platform. This role owns problems end to end, from formulation to production, and partners closely with Product and Backend Engineering. Key Responsibilities 1. End-to-End ML Ownership - Own end-to-end ML solutions for pricing, bidding, and risk decisioning.
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Source: Tolken's careers site
Himalayas
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