Join a dynamic team in the Freight and Logistics sector as a Machine Learning Engineer. You'll design and deploy AI solutions that tackle real business challenges and improve the digital landscape of the organization.
Innovative and collaborative, focused on leveraging technology to solve industry challenges.
As a Machine Learning Engineer at Datacentrix, you will be part of a team dedicated to enhancing the Freight and Logistics sector through advanced AI solutions. Your primary responsibility will be to design, build, and deploy machine learning models that address specific business needs and improve operational efficiency. You will work closely with cross-functional teams, including business stakeholders, developers, and data engineers, to ensure that the solutions you create are practical and impactful.
In your day-to-day work, you will engage with both structured and unstructured data sources. This involves preparing and cleaning data, as well as engineering features that will be used in AI models. Your hands-on experience with Azure AI Services and Azure Machine Learning will be crucial in this role, as you will leverage these tools to develop and implement effective machine learning solutions.
The ideal candidate for this position is someone who enjoys problem-solving and has a strong foundation in machine learning principles. You should be comfortable working in a collaborative environment and have a passion for using technology to drive business success. While certifications in Azure AI are preferred, they are not mandatory, making this role accessible to those with relevant experience.
Overall, this position offers a unique opportunity to contribute to a forward-thinking organization that values innovation and teamwork. If you are ready to take on the challenge of developing AI solutions that make a difference, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.