As an MLOps Engineer at Network Contracting Solutions, you'll focus on building and maintaining machine learning infrastructure. This role is ideal for those who enjoy ensuring that ML models are deployed and monitored effectively.
Network Contracting Solutions is looking for an MLOps Engineer to enhance their machine learning capabilities. In this role, you will be responsible for building and maintaining the infrastructure that supports machine learning models. Your work will ensure that these models are deployed efficiently and monitored effectively to drive continuous improvement.
Daily tasks will include collaborating with data scientists and engineers to understand the requirements for machine learning models. You will set up and manage the necessary infrastructure, ensuring that it is robust and scalable. Monitoring the performance of deployed models will also be a key responsibility, allowing you to identify areas for improvement and implement necessary changes.
This role suits someone with a strong background in machine learning and infrastructure management. You should be comfortable with deployment processes and have a keen eye for monitoring systems to ensure optimal performance. If you enjoy working in a tech-focused environment and are passionate about improving machine learning processes, this position could be a great fit for you.
Key requirements for this role include experience in machine learning, infrastructure management, and effective deployment strategies. Familiarity with continuous improvement practices and data analysis will be beneficial, as will experience with cloud services. If you are ready to take on the challenge of enhancing machine learning infrastructure, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.