Machine Learning Operations (ML Ops) Software Engineering Internship
MLOps (Machine Learning Operations) is the hottest new field in Software Engineering. With a goal of delivering scalable and reliable production deployments of Machine Learning models, MLOps sits at the intersection of machine learning, cloud computing and back end micro-service engineering. For this internship you will join the MLOps team at Migo for the summer and take on real MLOps engineering projects, helping Migo deliver our unique products and services that help entrepreneurs in emerging markets thrive.
WHAT WE DO
We are Migo, and we are on a mission to re-invent the way people access and use credit. Imagine if every time you went to the doctor you paid cash upfront before you are treated, where every time you rented an apartment you paid 2 years cash upfront, or where your monthly paycheck is frequently delayed for months at a time. This is everyday life for over 3 billion people in developing countries around the world. Through a simple API integration to our platform, companies can enable their customers to make purchases and pay bills on credit, or get personal loans. Leveraging proprietary datasets, Migo builds ML algorithms on customer phone records, bank records, and payment transactions to assess credit risk, enabling us to offer credit lines to individuals and small businesses.
WHAT WE ARE LOOKING FOR
Are you a Computer Scientist ready to help us redefine credit for the 21st century?
- Junior or Graduate student in Computer Science
- Experience working and experimenting with machine learning models; experience with micro-service architectures; Documenting your work.
- Writing clean, clear code as part of a team
- Fluency in Python and Java
- Quickly learn new tools
WHY SHOULD YOU WORK AT MIGO?
When you come to work at Migo, you can be assured that your work will be deeply meaningful. You will spend your days solving challenging problems alongside smart and capable colleagues. For our internships, we integrate interns into our Agile Data Science development process and assign them real tasks that contribute to our operations and research agenda. Interns work closely with Data Science team members to accomplish this result. By the end of the summer, your work here will have tangible and immediate impact on millions of people.