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 develop AI models and implement MLOps practices.
Collaborative and innovative
Datacentrix is looking for a Machine Learning Engineer to enhance their operations in the freight and logistics sector. This role is based in Pomona and involves working closely with cross-functional teams, including business stakeholders, developers, and data engineers. The focus will be on developing AI models that can process both structured and unstructured data, ensuring that the solutions are effective and scalable.
As a Machine Learning Engineer, your day-to-day responsibilities will include preparing and cleaning data, engineering features for AI models, and implementing MLOps practices. You will be expected to manage version control, set up CI/CD pipelines for model deployment, and monitor model performance to detect drift and retrain models responsibly. This role is ideal for someone who enjoys working with data and has a solid understanding of machine learning principles.
Key requirements for this position include familiarity with MLOps, version control systems like Git, and cloud deployment patterns. While certifications such as Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate are preferred, they are not mandatory. The role suits individuals who are proactive, enjoy collaboration, and are eager to contribute to innovative solutions in the logistics industry.
If you're passionate about machine learning and want to make a significant impact in a collaborative and innovative environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.