Athenahealth - Boston, MA
posted 4 months ago
The Senior MLOps Engineer will play a crucial role in the Machine Learning Operations (MLOps) team at athenahealth, which is dedicated to designing, developing, deploying, monitoring, and ensuring the continuous operation of the cloud-based platform that supports Machine Learning algorithms. This position is integral to the team, which focuses on operational excellence, creative problem-solving, and a commitment to helping team members succeed. The MLOps team is tasked with improving the state of healthcare by tackling complex data science and machine learning challenges, leveraging athenahealth's expansive healthcare information through advanced analytics and data science. In this role, you will be responsible for a blend of developing and deploying Machine Learning algorithms in the cloud. You will ensure that our cloud-based ML training and serving platforms are not only available and performant but also that we can proactively identify and resolve any issues that arise. Your responsibilities will include building tools that enhance the speed, confidence, and availability of our platform, as well as integrating security measures into every step of the software and infrastructure development life cycle. Collaboration across multiple technical functions will be essential to ensure high availability, disaster recovery, and customer satisfaction. The ideal candidate will be someone who strives to automate manual and repetitive operations, enjoys learning new tools and frameworks, and thrives in a highly collaborative environment. You should be organized, detail-oriented, and possess a strong customer focus, along with good communication skills and the ability to remain calm under pressure. A high sense of ownership and a proactive attitude are essential, as is a willingness to delve deep into infrastructure and code to solve problems. Enthusiasm for learning and self-starting is also a key characteristic we are looking for in a candidate.