✨ The Role in One Sentence

We are seeking a Machine Learning Engineer to build services that power automation and drive innovation at scale.

📋 What You'll Likely Do

• 40%: Build ML/AI-based solutions in an event-driven architecture.

• 30%: Take ownership of projects from ideation to model training, deployment, and monitoring.

• 30%: Engage with non-technical stakeholders to discuss potentials and limitations of recent advances in AI/LLMs.

🧑‍💻 Profiles Doing This Job

• High Priority: Experience in machine learning, with a track record of building scalable, production-grade systems.

• High Priority: Proficient in Python and familiar with lifecycle management tools and containerization.

• High Priority: Comfortable working with cloud platforms like Azure and AWS.

📈 How This Role Will Look on Your CV

• Built and deployed scalable machine learning solutions in a cloud-native environment.