✨ The Role in One Sentence

Lead ML Engineer to translate requirements into well-engineered solutions, building and owning end-to-end backend services.

📋 What You'll Likely Do

• 30%: Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services.

• 30%: Integrate already trained ML models in developed services.

• 40%: Align team’s vision and roadmap with the target architecture.

🧑‍💻 Profiles Doing This Job

• High Priority: Backend Python Engineer experience.

• High Priority: Experience with Django, FastAPI or FlaskAPI.

• High Priority: Experience with AWS and CI/CD pipelines.

📈 How This Role Will Look on Your CV

• Led the development and deployment of machine learning models in a production environment.