As a Lead ML+DevOps Engineer, you will play a crucial role in the scalability and reliability of our AI/ML infrastructure, collaborating with multi-disciplinary teams to deliver innovative solutions.

In Short

Design and implement MLOps pipelines.
Configure and manage cloud-based resources.
Automate model deployment and management.
Collaborate with data scientists and engineers.
Monitor and optimize AI/ML infrastructure performance.
Stay updated with industry trends and best practices.

Requirements

Experience in deploying machine learning models to cloud environments.
Expertise in Docker container orchestration.
Proficiency in Terraform for infrastructure management.
Experience with streaming data platforms.
Understanding of data cleaning and ETL processes.
Experience with CI/CD tools and pipelines.
Strong programming skills in Python.
Excellent problem-solving skills.
Strong communication skills.

Benefits

Work with a global client roster.
Remote-first approach.
Collaborative work environment.
Opportunity to solve complex problems.
Join a diverse team of engineers and creative talent.

Code and Theory

Code and Theory is a digital-first creative agency founded in 2001, positioned at the intersection of creativity and technology. The company specializes in solving complex consumer and business challenges while helping clients establish new capabilities. With a diverse global client base that includes Fortune 100 companies and innovative start-ups, Code and Theory embraces a remote-first work culture with teams spread across North America, South America, Europe, and Asia. The agency collaborates with notable partners such as Adidas, Amazon, and Microsoft, and is part of a growing network that includes several other agencies. With a workforce of nearly 2,000 people, equally divided between engineers and creative talent, Code and Theory is committed to attracting smart, driven individuals who are eager to tackle challenging problems.

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