As a Machine Learning Engineer at Datacentrix, you'll dive into data to create intelligent solutions. This role is perfect for those who enjoy working with both structured and unstructured data to build and optimize machine learning models.
Innovative and data-driven
Datacentrix is focused on leveraging data to create advanced machine learning solutions. As a Machine Learning Engineer, your day-to-day work will involve preparing and cleaning data from various sources, which is essential for building effective models. You'll collaborate with other data professionals to ensure that the data is ready for analysis and model training.
In this role, you will be responsible for: • Working with both structured and unstructured data sources • Engineering features that enhance model performance • Implementing MLOps practices to streamline the deployment of machine learning models
This position suits individuals who have a strong background in data engineering and a passion for machine learning. You should be comfortable with various data processing techniques and have a good understanding of how to optimize models for real-world applications. Familiarity with cloud platforms, especially Azure, will be beneficial but is not mandatory.
Overall, this role offers a great opportunity to contribute to innovative projects while developing your skills in a supportive environment.
You'll be taken to the original listing on CareerJet to apply.