Kforce has a client located in Boston MA that is seeking a Software Engineer to join our growing team. The Software Engineer will be building automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization. They will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. We are looking for a high energy individual with experience developing cloud native applications, APIs, and data pipelines that values automation, testing, and security. Responsibilities: * Build cloud infrastructure for machine learning following the MLOps model * Design and implement public and internal APIs * Design event and streaming based services * Build Tests and Build Pipeline for automated Deployment * Establish Monitoring and Alerting for custom infrastructure * batch data pipelines for machine learning for massive data sets * Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale * Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features * Enable rapid iteration and product quality through continuous A/B testing * Design, implement, and maintain solutions/platforms * Collaborate with platform engineering and architects to utilize best practices and maintain compliance