MLOps Engineer The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact on public health? What if you could find a position that is tailor-made for your mix of development, engineering, and analytics skills? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That’s why we need an experienced machine learning (ML) engineer like you to help us build and configure an MLOps platform in the cloud that shortens the time it takes to get new capabilities from development to production to support mission critical operations. As an MLOps Engineer on our team, you’ll use your development experience to streamline our development lifecycle from development to production. You’ll be working with a collaborative Agile development team to build and maintain cloud sof tware and infrastructure that supports ML across the enterprise. You’ll implement continuous integration and continuous deployment ( CI / CD ) to development, testing, and production environments. This is an opportunity to broaden your skill set into areas like Agile development, cloud-based development, containerization, and serverless while developing sof tware that will improve public health. As an ML engineer, you’ll identify new opportunities to build solutions and architecture to help your customers meet their toughest challenges. Work with us to solve real-world challenges and define an ML strategy for public health, and protect America from health, safety, and security threats.