.DescriptionJOB TITLE: Sr ML Engineer (MLOps)Syneos Health is the only fully integrated biopharmaceutical solutions organization purpose-built to accelerate customer success. We lead with a product development mindset, seamlessly connecting our capabilities to add high-value insights to speed therapies to patients and provide practical value to help our customers achieve their objectives.Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.Discover what our 30,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHEREWhy Syneos Health#SyneosHealthLife means we're committed to our Total Self-culture - where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person's unique contributions make a difference.We believe our success is a direct result of the people who are driving it - you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you. That's why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial.JOB SUMMARYWe are actively seeking a dedicated Azure MLOps Engineer to play a crucial role in our Data Science team's mission. At Syneos Health, we recognize the pivotal role our MLOps team plays in unlocking the full potential of data science, enabling us to deliver unparalleled value through scalable applications. This role offers the unique opportunity to collaborate with our expert data science team, leading the design, implementation, and optimization of machine learning systems on the Azure cloud platform. Your contributions will be vital in establishing robust ML pipelines that empower our data scientists to efficiently develop, deploy, and monitor predictive models, leveraging the comprehensive tools available in Azure's Machine Learning ecosystem.JOB RESPONSIBILITIESCollaborate within an agile, cross-functional team to understand data scientists' needs and build efficient pipelines in response.Develop, maintain, and optimize Azure ML pipelines for quick, dependable model training, deployment, and evaluation.Employ Azure's monitoring tools to track model performance, ensuring sustained accuracy and reliability.Advance our model deployment strategy within Azure, incorporating best practices for version control and rollback mechanisms.Partner with the data platform team to refine our data infrastructure, fostering a productive feedback loop.Conduct Azure MLOps training for team members, promoting adherence to industry best practices