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Machine Learning Engineer

Virufy

Location TBDFull-timeNo compensation foundPosted 11mo agoVerified open 4 days ago
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At a glance

Compensation
No compensation found
Location
Location TBD
Role Type
Volunteer
Schedule
Full-time
Work Authorization
US work authorization required

Job overview

Virufy is hiring a Machine Learning Engineer. The role involves part‑time volunteer work developing machine learning, deep learning, and signal analysis solutions for audio data in a medical context, collaborating with AI engineers and mentors to build and maintain data pipelines and models.

Key focus areas include Maintain the ETL pipeline for data., Pre‑process data for machine learning models., and Attend weekly team meetings to discuss progress & status updates..

Important skills include Python & Pandas, Amazon S3, Bash, Git, Independent Programming, and Efficient Scalable ETL Pipelines.

Skills & qualifications

RequiredNice to have

Skills

Python & PandasAmazon S3BashGitIndependent ProgrammingEfficient Scalable ETL PipelinesLeadership Attitude

Qualifications

Must Be 18+Authorized to Work in United StatesHigh School Graduate or College DegreeValid Photo ID

Full job description

Machine Learning Engineer Our team of part-time volunteers works with machine learning, deep learning, and signal analysis for audio analysis in a medical setting. We welcome individuals with professional experience in these domains to apply. The candidate will be immersed in a collaborative environment alongside AI engineers and mentors.

Responsibilities

  • Maintain the ETL Pipeline For Data.
  • Pre-process data for machine learning models.
  • Attend Weekly Team Meetings To Discuss Progress & Status Updates.
  • Perform any other administrative duties as needed for the Machine Learning team. Minimum Qualifications
  • Age 18 or over
  • Legally authorized to work in the United States (We do not sponsor Visas)
  • High School Graduate or College Degree
  • Valid Photo ID (Drivers License or Passport) Desired Skills
  • Experience With Python & Pandas or similar data libraries.
  • Experience With AWS S3 or similar data storage systems.
  • Experience In Writing Non Trivial Bash Scripts or similar automation
  • Code versioning (Git)
  • Ability To Program Independently
  • Knowledge of efficient, scalable ETL pipelines
  • Leadership attitude (self starter) Hours
  • The position lasts for 6 months. You are requested to invest between 10-15 hours per week in your development of your role within this organization. Questions?
  • Reach out to [email protected] and we will get back to you promptly. Apply to this Role

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