As a Senior Machine Learning Engineer, you'll play a key role in building and maintaining MLOps infrastructure. This position is ideal for someone with hands-on experience in model delivery and deployment.
In this role, you will be responsible for building and maintaining the MLOps infrastructure that supports the delivery of machine learning models. Your work will ensure that the models are reliable and can be deployed consistently. You will collaborate closely with AI Engineers to create clean, production-ready code that meets the team's standards.
Your day-to-day tasks will include developing pipelines for model training and deployment, tracking experiments to evaluate model performance, and managing model versioning. You will also be involved in monitoring the performance of deployed models to ensure they operate effectively in production environments.
This position is well-suited for experienced professionals who have a strong background in MLOps and are comfortable working in a collaborative environment. You should be able to demonstrate hands-on experience with the tools and processes necessary for successful model delivery.
Key requirements for this role include a solid understanding of MLOps principles, experience with model deployment, and the ability to write clean and efficient code. If you are passionate about machine learning and enjoy working in a dynamic team, this could be the perfect opportunity for you.
You'll be taken to the original listing on CareerJet to apply.