Interpret vague requirements and develop models to solve real-world problems.
Conduct ML experiments using programming languages with machine learning libraries.
Leverage generative AI to develop innovative solutions.
Optimise machine learning solutions for performance and scalability.
Implement tailored machine learning code to meet specific needs.
Ensure efficient data flow between databases and backend systems.
Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
Create machine learning architectures using Google Cloud tools and services.
Build and deploy production-grade software for ai and data-driven solutions.

Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
Hands-on experience with foundational software engineering practices.
Strong knowledge of SQL for querying and managing data.
Experience scaling computations using GPUs or distributed computing systems.
Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
Strong communication and presentation skills to effectively convey technical concepts.

Senior Engineer

Key skills