Machine Learning Engineer - 4

Responsibilities:

• Working closely with product owners, other backend (Java and Python) engineers, data scientists, and other business members to translate requirements into well-engineered solutions.
• Architect, design, test, implement, deploy, monitor, and maintain end-to-end backend services. You build it, you own it mentality.
• Integrate already trained ML models in some of the services you develop.
• Work with people from other teams and departments on a day-to-day basis to ensure efficient project execution with a focus on delivering value to our members.
• Regularly aligning your team's vision and roadmap with the target architecture within your domain to ensure the success of complex multi-domain initiatives.

Requirements:

• You have 8+ years of experience as a Backend Python Engineer (Senior/Lead).
• You have an understanding of software engineering fundamentals (OOP, SOLID, etc. ).
• You have hands-on experience with frameworks such as Django, FastAPI, or Flask.
• You have extensive experience integrating with or creating REST APIs.
• You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
• You have experience with event-driven architectures.
• You have experience with AWS.
• (Great to have) Experience with Databricks, ML feature store solutions, and Kafka (or other message brokers).

Skills

aws, django, fastapi, flask, python