DevOps Engineer

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 [email protected] and we will get back to you promptly. Apply to this Role