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Eastwood & Cleef, LLC

Machine Learning Developer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

This is a remote position.

Eastwood & Cleef company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.As a Machine Learning Developer you will have to:

build and deploy machine learning models

validate and test results of your pipelines

help business to translate ML metrics into real business objectives and vice verse

present results of complex algorithms in simple and easy to understand manner

demonstrate "can-do" approach initiating projects that solve real business problems by ML applications

Candidates are expected to work full-time (160 hours per month). Compensation is $20 - $30 per hour and depends on qualifications of the candidate.

Requirements

1-3 years of experience in the field of machine learning

solid knowledge of classic ML (tabular data) and algorithms (regressions, trees, boosting, etc.)

good expertise in different areas of ML (recommender systems, text data, clustering, etc.)

experience with A/B tests and statistical analysis

strong knowledge of Python (Jupyter notebooks are not enough) so that you can build and deploy pipelines with tools like Argo / Airflow / etc.

experience with Google Cloud is a plus

experience with medical data is a plus

Intermediate+ English is a plus (at least, you should be able to have written conversations with stakeholders)

Benefits

2 weeks of paid vacation

Flexible working hours

Fully remote position

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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