Join a dynamic team in the Freight and Logistics sector as a Machine Learning Engineer. You'll work with data to build and deploy AI models, collaborating with various stakeholders to drive innovation.
Innovative and collaborative
As a Machine Learning Engineer at Datacentrix, you'll be part of a team focused on leveraging AI in the Freight and Logistics sector. Your role will involve working with both structured and unstructured data to prepare and engineer features for AI models. You'll collaborate closely with business stakeholders, developers, and data engineers to ensure that the models you create meet the needs of the organization.
In your day-to-day work, you will 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 your models and ensuring they are retrained responsibly to maintain their effectiveness.
This role is ideal for someone who enjoys working in a collaborative environment and has a strong understanding of machine learning principles and practices. Familiarity with cloud deployment patterns and tools is essential, as is experience in managing the lifecycle of machine learning models. If you have certifications in Azure AI or Data Science, that's a plus, but not mandatory.
Overall, this position offers a great opportunity to contribute to innovative projects in a growing industry while developing your skills in machine learning and AI deployment.
You'll be taken to the original listing on PNet to apply.