- Engineer beautiful code in Python, focusing on high-quality engineering and best practices in production software as well as rapid prototypes
- Lead projects and take an active role in leading client discussions
- Build trusted relationships with prospects
- Find creative ways to use machine learning to solve problems
- Scope projects and oversee the delivery of engagements
- 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 (MLOps)
- Create machine learning architectures using Google Cloud tools and services
- Build and deploy production-grade software for machine learning and data-driven solutions
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