DevOps Engineer

Seeking a part-time volunteer to work with machine learning, deep learning, and signal processing for audio analysis in a medical setting. We welcome students and professionals with experience in these domains. The candidate will be immersed in a highly collaborative environment alongside senior AI engineers and mentors.

Responsibilities

Build scalable web services in the AWS environment.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

Collaborate with other engineers and ML experts, taking learning and leadership opportunities that will arise every single day.

Keep data separated and secure across national boundaries through strict adherence to information security protocols and policies.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative world leader.

Assess the quality of the data from both internal and external data sources to build our world class datasets.

Minimum Qualifications

Passionate and committed to the Virufy project mission. Show up to stand-up meetings on time, communicate effectively, and share learnings with the team.

Experience with AWS and/or Google Cloud Platform.

Strong background working with Python and Jupyter Notebooks.

Experience in training models on platforms such as Keras and TensorFlow.

Desired Skills

5+ years of paid work experience.

1 year of experience building APIs in Flask, Bottle, or Django frameworks.

Hands-on programming experience working on audio databases.

Hours

10-20 hours per week, including stand-up, sprint review, and other meetings.

Questions?

Reach out to frederick.cosper@virufy.org and we will get back to you promptly.

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