Senior MLOps Engineer
IDT Corporation
SeniorB2BAbout the position
Join a mission to protect cross-border transactions as a Senior MLOps Engineer, architecting high-performance systems that drive business value.
Tech stack
- kubernetes
- mlflow
- argocd
- dagster
- airflow
Requirements
Required:
- 7+ years of overall experience in Infrastructure or Platform Engineering, with 3+ years focused deeply on hands-on production MLOps architectures
- Strong Kubernetes expertise: Deep hands-on experience running and scaling ML workloads on K8s and cloud environments
- Hands-on MLOps Stack: Experience building or maintaining infrastructure using tools for model serving, orchestration, or monitoring
- Real-Time Model Serving: Practical experience taking models out of data science environments and operationalizing them for low-latency, real-time production serving
Nice to have:
- Strong Individual Contributor: You thrive as a hands-on technical expert, enjoying owning the architecture and driving technical alignment across teams
Responsibilities
- Act as the technical bridge between Modelers and DevOps/Infrastructure teams
- Design and own the internal MLOps platform from scratch, focusing on production K8s clusters
- Implement high-performance ML pipelines for real-time inference and automated rollbacks
- Drive technical standards for production model monitoring and ensuring data lineage and security
Benefits
- Stable job with long-term growth perspective
- Competitive salary with annual performance review
- Continuous learning and career growth opportunities
- Compensation for professional training, seminars, and conferences