As a Senior Machine Learning Engineer, you'll play a key role in developing 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 efficiently. You will collaborate closely with AI Engineers to ensure that the code is clean and production-ready.
Your daily tasks will involve hands-on experience with MLOps practices, including setting up pipelines, tracking experiments, and managing model versioning. You will also be involved in deploying models to production, ensuring that they perform well and meet the required standards.
This position is suited for someone who has a strong background in machine learning and is comfortable working in a fast-paced environment. You should be proactive, detail-oriented, and able to work well in a team. Key requirements include a solid understanding of MLOps and experience in delivering machine learning solutions.
If you are looking to take your career to the next level and work in an innovative and collaborative environment, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.