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**Please Note: This is a 12-month Fixed-Term Contract**Key job responsibilities
Our team develops detectors consisting of deep computer vision and Machine Learning (ML) techniques, that require the ability for team members to conduct research and methods that can identify these defects with high-accuracy and low friction that they optimise to achieve both low latency and cost to operate for customers at scale. This requires depth of science application across all aspects of the ML Lifecyle including model training, optimisation, experimentation and maintenance. Lead engineers are also expected to have a strong understanding of statistics and math, combined with core SDE computer science skills that enable them to dive deep into algorithmic performance e.g., data structures.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in professional, non-internship software development
- Master's degree in Machine Learning, Applied Mathematics, Operations Research or a related field, or equivalent work experience
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with developing and deploying Machine Learning Operations (MLOps) at scale
- Experience with large scale foundational models and transformer based architecture (GenAI)
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