Join a dynamic team in the Freight and Logistics sector as a Machine Learning Engineer. You'll work with data to build and optimize AI models, collaborating with various stakeholders to drive innovation.
As a Machine Learning Engineer at Datacentrix, you'll be part of a team focused on enhancing the Freight and Logistics sector through AI. Your role will involve working with both structured and unstructured data to prepare and engineer features for machine learning models. You'll collaborate closely with business stakeholders, developers, and data engineers to ensure that the AI solutions meet the needs of the organization.
In your day-to-day work, you'll implement MLOps practices, which include version control, continuous integration and deployment (CI/CD) for models, and monitoring for model performance. You'll also be responsible for detecting drift in models and ensuring they are retrained responsibly to maintain their effectiveness. This role is well-suited for someone with a strong background in machine learning and a passion for data-driven solutions.
Key responsibilities include: • Preparing and cleaning data for AI models • Collaborating with cross-functional teams • Implementing MLOps practices • Monitoring model performance and retraining as needed
To succeed in this role, familiarity with cloud deployment patterns and tools is essential. While certifications like Microsoft Certified: Azure AI Engineer Associate are preferred, they are not mandatory. If you're looking to make an impact in a collaborative and innovative environment, this position could be a great fit for you.
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