✨ The Role in One Sentence

We are seeking a Lead Machine Learning Engineer (MLOps) to design, implement, and maintain backend services, integrating ML models and ensuring efficient project execution.

📋 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 some of the services you develop.

• 40%: Work with cross-functional teams to ensure efficient project execution and deliver value.

🧑‍💻 Profiles Doing This Job

• High Priority: Proven 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 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.