Join a dynamic team focused on operationalising machine learning models and managing cloud infrastructure. You'll work with big data technologies and contribute to innovative AI solutions. This role is ideal for someone passionate about MLOps and cloud engineering.
In this role, you'll be part of a team that operationalises machine learning models, ensuring they are effectively served, monitored, and retrained as needed. Your work will involve deploying cloud infrastructure and automating CI/CD processes to support continuous delivery of data solutions. You'll also engage with big data technologies, focusing on high-volume data ingestion and transformation.
Your responsibilities will include: • Managing cloud infrastructure, particularly within Azure environments. • Supporting MLOps initiatives to streamline the deployment and monitoring of machine learning models. • Collaborating with data engineers to build and maintain feature pipelines. • Contributing to the development of AI agents that enhance the delivery process.
This position is well-suited for individuals with a strong background in cloud engineering and MLOps, particularly those familiar with big data frameworks like Spark and Hadoop. A passion for innovation and a collaborative mindset will help you thrive in this role. If you're eager to work on cutting-edge technology and contribute to impactful projects, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.