Machine Learning Engineer \(MLOps\)
• Lead
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Tide is seeking a Lead Machine Learning Engineer (MLOps) to translate requirements into well-engineered solutions and maintain backend services.
📋 What You'll Likely Do
40%: Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services.
30%: Integrate already trained ML models in some of the services you develop.
30%: Work with product owners, other backend engineers, data scientists and other business members.
🧑💻 Profiles Doing This Job
High Priority: Proven work experience as a Backend Python Engineer (Senior/Lead).
High Priority: Hands-on experience with frameworks such as Django, FastAPI or FlaskAPI.
High Priority: Experience with AWS.
📈 How This Role Will Look on Your CV
Developed and maintained backend services integrating ML models in a fast-growing fintech environment.