The MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team
Job Summary
The MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team.
Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning.
Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption.
Matching Summary
The MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team.
Skills & Requirements
Must-have
DevOps and MLOps practices
Infrastructure-as-code
DataOps pipelines
Automated data quality monitoring
Containerized ML workloads
CI/CD pipelines
Cloud cost management
Nice-to-have
Generative AI use cases
Advanced analytics use cases
Semantic search
Retrieval-augmented generation
Key Requirements
5+ years of experience
Bachelor's degree in Computer Science, Data Science, Information Systems, or related field