Machine Learning Engineer at Aquabyte

As a Machine Learning Engineer at Aquabyte, you will be instrumental in developing and deploying advanced machine learning models that power the company's innovative aquaculture monitoring solutions. This role involves working with large datasets, building robust ML pipelines, and contributing to the development of AI-driven features that enhance fish welfare, increase productivity, and promote sustainability in fish farming. You will collaborate with a cross-functional team of engineers, data scientists, and domain experts to bring cutting-edge AI solutions from conception to production. Your work will directly impact Aquabyte's mission to transform aquaculture and meet the global demand for sustainable protein. This includes developing models for tasks such as sea lice counting, biomass estimation, appetite detection, and feed optimization. You will be expected to stay abreast of the latest advancements in machine learning and computer vision, and apply them to solve real-world challenges in the aquaculture industry. The role offers a unique opportunity to work on a product that has a significant positive impact on both the environment and the global food supply chain.