Senior Mlops Engineer

At Elanco NYSE ELAN - it all starts with animals As a global leader in animal health we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets We re driven by our vision of Food and Companionship Enriching Life and our approach to sustainability - the Elanco Healthy Purpose TM - to advance the health of animals people the planet and our enterprise At Elanco we pride ourselves on fostering a diverse and inclusive work environment We believe that diversity is the driving force behind innovation creativity and overall business success Here you ll be part of a company that values and champions new ways of thinking work with dynamic individuals and acquire new skills and experiences that will propel your career to new heights Making animals lives better makes life better - join our team today Your Role Sr ML Ops engineer The MLOps engineer s role is service focused and will create data pipeline and engineering infrastructure to support our enterprise machine learning systems This role will collaborate with data scientists and statisticians from various Elanco global business functions to facilitate and lead scientific and or business knowledge discovery insights and forecasting The MLOps Engineer will be responsible for designing implementing and maintaining machine learning infrastructure pipelines and workflows This role will require a deep understanding of data management software development and cloud computing Your Responsibilities Deploy and maintain machine learning models pipelines and workflows in production environment Re-package deployment process ML models that have been developed in the non-production ML environment by ML Teams for deployment to the production ML environment Perform the required MLOps engineering development to refactor the non-production ML model implementation to an ML as Code implementation Create manage and execute ServiceNow change requests in accordance with the Elanco IT Change Management process to manage the deployment of new models Build and maintain machine learning infrastructure that is scalable reliable and efficient Provide expert data PaaS on Azure storage big data platform services server-less architectures Azure SQL DB NoSQL databases and secure automated data pipelines What You Need to Succeed minimum qualifications Bachelor s or master s degree in computer science Engineering or related field 5-7 years of experience in software engineering data engineering or ML engineering What will give you a competitive edge preferred qualifications Strong programming experience in Python Solid understanding of machine learning workflows and MLOps concepts Experience with CI CD version control Git GitHub and containerization Docker Kubernetes Hands-on experience with Azure cloud services Data Factory ADLS Azure SQL etc Experience deploying ML models to production environments Familiarity with databases SQL NoSQL and data pipeline design ETL ELT Ability to translate business requirements into technical implementations Strong problem-solving and debugging skills Additional Information Travel 0 Location India Bangalore Don t meet every single requirement Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification At Elanco we are dedicated to building a diverse and inclusive work environment If you think you might be a good fit for a role but don t necessarily meet every requirement we encourage you to apply You may be the right candidate for this role or other roles Elanco is an EEO Affirmative Action Employer and does not discriminate on the basis of age race color religion gender sexual orientation gender identity gender expression national origin protected veteran status disability or any other legally protected status