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.
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 AI models. You'll collaborate closely with business stakeholders, developers, and data engineers to ensure that the models you create meet real-world needs.
In your day-to-day work, you'll implement MLOps practices, which include version control, continuous integration and deployment (CI/CD), and monitoring of AI models. You'll also be responsible for detecting model drift and retraining models as necessary to maintain their effectiveness. Familiarity with cloud deployment patterns will be essential, as you'll be deploying models in cloud environments.
This role is ideal for someone who enjoys working in a collaborative environment and has a strong foundation in machine learning and data engineering. While certifications in Azure AI or Data Science are preferred, they are not mandatory. What matters most is your ability to work with data and your commitment to implementing best practices in machine learning operations.
Overall, this position offers a chance to make a significant impact in a growing field, and you'll be supported by a team that values innovation and teamwork.
You'll be taken to the original listing on PNet to apply.