As a Senior Machine Learning Engineer at Sabenza IT, you'll be at the forefront of developing and optimizing MLOps pipelines. This role is perfect for someone with a strong background in cloud technologies and a passion for AI solutions.
At Sabenza IT, the team is dedicated to pushing the boundaries of AI and machine learning. As a Senior Machine Learning Engineer, you will be responsible for designing and implementing robust MLOps pipelines that ensure seamless integration and deployment of machine learning models. Your expertise in cloud platforms, particularly AWS or Google Cloud, will be crucial in optimizing these processes.
In your day-to-day work, you will collaborate with cross-functional teams to develop CI/CD pipelines that include automated testing and monitoring. You will also be involved in deploying and optimizing open-source tools, ensuring that the solutions you create are not only effective but also scalable. This role requires a proactive approach to problem-solving and a strong understanding of Kubernetes and DevOps practices.
The ideal candidate for this position is someone with at least five years of experience in machine learning engineering or a related field. You should have a solid grasp of MLOps principles and be comfortable working in a fast-paced environment. If you are passionate about AI and eager to contribute to innovative projects, this role could be a great fit for you.
Key requirements include: • Strong experience with MLOps and CI/CD pipelines • Proficiency in Kubernetes and cloud platforms (AWS or Google Cloud) • Familiarity with automated testing and monitoring tools • Ability to work collaboratively in a dynamic team setting
Join Sabenza IT and be part of a team that values innovation and excellence in the field of AI and machine learning.
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