Join a dynamic team as a DevOps Engineer and work in a high-performing tech environment. You'll be involved in implementing and managing AI and MLOps technologies, making a significant impact on projects.
As a DevOps Engineer, you'll be part of a team that thrives on innovation and efficiency in technology. Your role will focus on integrating and managing various AI and MLOps technologies, ensuring smooth operations and deployment of machine learning models.
In your day-to-day work, you will collaborate with software developers and data scientists to streamline processes and enhance the performance of AI platforms. You will be responsible for implementing tools and practices that improve the development lifecycle and operational efficiency.
Key responsibilities include: • Managing and optimizing AI platforms • Implementing MLOps technologies like KServe and MLflow • Collaborating with cross-functional teams to ensure seamless integration • Troubleshooting and resolving issues related to deployment and operations
This role is ideal for someone with a strong background in DevOps and a passion for AI technologies. You should be comfortable working in a fast-paced environment and have a solid understanding of the tools and practices that drive successful DevOps initiatives.
You'll be taken to the original listing on PNet to apply.