Join a dynamic team in the freight and logistics sector as a Machine Learning Engineer. You'll work with both structured and unstructured data to build and maintain AI models, ensuring they perform effectively in real-world applications.
As a Machine Learning Engineer at Datacentrix, you will be part of a team dedicated to enhancing the freight and logistics industry through advanced AI solutions. Your role will involve collaborating with business stakeholders, developers, and data engineers to create effective machine learning models that can handle both structured and unstructured data. This position is ideal for someone who enjoys working in a collaborative environment and is eager to apply their technical skills to real-world challenges.
In your day-to-day work, you will focus on preparing and cleaning data, as well as engineering features necessary for building robust AI models. You will also implement MLOps practices, which include version control, continuous integration and deployment (CI/CD), and monitoring model performance. Your responsibilities will ensure that the models are not only built effectively but also maintained and retrained responsibly as needed.
To succeed in this role, familiarity with MLOps, version control systems like Git, and cloud deployment patterns is essential. While certifications such as the Microsoft Certified: Azure AI Engineer Associate are preferred, they are not mandatory. This position is suited for individuals who are passionate about machine learning and want to make a significant impact in the logistics sector.
You'll be taken to the original listing on PNet to apply.