DevOps Engineer

In this role as a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, ensuring efficient integration into production systems and high performance. You will work closely with data scientists, machine learning engineers, and development teams. Your key responsibilities will include: - Deploying and managing machine learning models in production environments, focusing on scalability, reliability, and performance - Designing and implementing CI/CD pipelines for ML models to streamline development and deployment processes - Developing and maintaining infrastructure for model deployment, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud services (e.g., AWS, Google Cloud, Azure) - Monitoring the performance of deployed models, addressing issues, and performing regular maintenance to ensure accuracy and effectiveness - Ensuring model deployment and data handling align with security and regulatory requirements, implementing standard methodologies for data privacy and protection - Creating and maintaining documentation for deployment processes, model performance, and system configurations, delivering clear reports to collaborators - Identifying and implementing improvements to model performance, deployment processes, and infrastructure efficiency - Participating in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective You are expected to have a Bachelor's degree in computer science, Data Science, Statistics, or a related field, along with 7+ years of experience in ML Ops, DevOps, or a related role. Additionally, you should have experience with containerization technologies, orchestration platforms, cloud services (Azure and AWS), CI/CD tools, and supervising/logging tools. Preferred qualifications include prior experience in the engineering domain, working with teams in Scaled Agile Framework (SAFe), knowledge of data engineering and ETL processes, experience with version control systems, and understanding of machine learning model lifecycle management. At Emerson, the workplace values every employee, fosters innovation, collaboration, and diverse perspectives, and provides support for ongoing career development and an inclusive culture. Competitive benefits plans, medical insurance, flexible time off, and paid parental leave are among the offerings to prioritize employee wellbeing. Joining Emerson means being part of a diverse, multicultural team that drives innovation for a healthier, safer, and more sustainable world. Emerson is a global leader in automation technology and software, serving critical industries, including life sciences, energy, power, renewables, chemical, and advanced factory automation. The company values collaboration, diversity, and challenges, aiming to make a positive impact through innovation and empowerment. If you are looking to contribute to impactful work, develop your skills, and be part of a community that celebrates and empowers its people, consider joining Emerson.,