Senior MLOps Engineer

ŌURA is seeking a Senior MLOps Engineer to join their Data Engineering & Analytics team in a remote capacity within the US. The role involves leading the design and enhancement of platforms and workflows that support machine learning teams in developing, training, deploying, and operating ML systems at scale. Daily responsibilities include improving the environment and operational foundations for machine learning workflows, as well as collaborating with data scientists and engineers to refine the entire ML lifecycle from experimentation to deployment. The position requires expertise in MLOps practices and tools, with a focus on creating unified workflows and ensuring the reliability of ML systems. Candidates should possess significant experience in machine learning operations and a strong understanding of data science principles. This role is ideal for individuals who thrive in a collaborative environment and are passionate about driving improvements in machine learning processes. The company emphasizes a culture of empowerment and support for its team members, aligning with its mission to promote healthier lifestyles through its innovative products.