Senior Engineer

Senior Machine Learning Engineer

What You’ll Do

• Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. - Data Science: Conduct ML experiments using programming languages with machine learning libraries. - GenAI: Leverage generative AI to develop innovative solutions. - Optimisation: Optimise machine learning solutions for performance and scalability. - Custom Code: Implement tailored machine learning code to meet specific needs. - Data Engineering: Ensure efficient data flow between databases and backend systems. - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. - Engineering Software for Production: Build and deploy production-grade software for ai and data-driven solutions. ### What You’ll Bring

• Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background. - Programming Skills: 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. ###