Machine Learning Performance Engineer at Campbell North

As a Machine Learning Performance Engineer at Campbell North, you will be instrumental in optimizing the efficiency and effectiveness of machine learning models. This role requires a deep understanding of ML algorithms, system architecture, and performance tuning. You will be responsible for identifying bottlenecks, improving model inference speed, and ensuring scalability of ML systems within the company's technology infrastructure. Your work will directly impact the performance of AI-driven products and services, ensuring they operate optimally under various conditions. This involves a blend of theoretical knowledge and practical application, with a focus on real-world problem-solving and continuous improvement of ML pipelines. You will collaborate with data scientists and software engineers to deploy and maintain high-performing ML solutions. This position demands a proactive approach to performance analysis, a strong grasp of relevant tools and technologies, and the ability to translate complex technical findings into actionable insights. You will play a key role in maintaining the competitive edge of Campbell North's technological offerings by ensuring the underlying ML systems are robust, efficient, and performant.