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™ – 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 expe...