As a Senior Machine Learning Engineer, you'll focus on implementing MLOps and ensuring robust CI/CD processes. This role is ideal for someone with a strong background in machine learning and a passion for operational excellence.
In this role, you will be responsible for implementing MLOps practices to streamline the deployment and management of machine learning models. Your day-to-day tasks will include setting up continuous integration and continuous deployment (CI/CD) pipelines, as well as testing and monitoring the performance of these models in production environments.
You will work closely with data scientists and software engineers to ensure that machine learning solutions are effectively integrated into existing systems. Your expertise will help in automating workflows and improving the reliability of model deployments.
This position suits individuals who are experienced in machine learning and have a strong understanding of operational processes. You should be comfortable with coding and have a keen eye for detail, especially when it comes to testing and monitoring systems.
Key requirements for this role include: • Strong knowledge of MLOps principles • Experience with CI/CD tools and practices • Proficiency in testing methodologies for machine learning models • Ability to monitor and troubleshoot model performance in real-time
If you are looking to make a significant impact in a tech-focused environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.