Machine Learning Engineer \(MLOps\)
• Lead
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Lead ML Engineer to architect, design, test, implement, deploy, monitor and maintain end-to-end backend services.
📋 What You'll Likely Do
40%: Translate requirements into well-engineered solutions.
30%: Integrate already trained ML models in services.
30%: Ensure efficient project execution.
🧑💻 Profiles Doing This Job
High Priority: Backend Python Engineer experience.
High Priority: Experience with AWS.
High Priority: Experience with integrating ML models.
📈 How This Role Will Look on Your CV
Developed and maintained backend services integrating ML models.