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DevOps & InfrastructureChicago, ILFull-Time
Director of MLOps
Own the MLOps platform and culture that takes TAL Corp models from research to production — reliably, at speed.
About This Role
MLOps at TAL Corp is a competitive advantage. The Director of MLOps builds the systems and culture that make TAL Corp the fastest, most reliable AI model operator in the industry.
Responsibilities
- ▸Define and own the MLOps strategy and tooling platform
- ▸Lead the MLOps engineering team of 6–12 engineers
- ▸Own the model lifecycle from training orchestration to deployment to monitoring
- ▸Drive A/B testing and canary deployment infrastructure for model updates
- ▸Partner with alignment team on model safety validation in the deployment pipeline
- ▸Establish model performance monitoring and drift detection systems
Requirements
- ▸BS/MS in Computer Science or Engineering
- ▸10+ years engineering with 4+ years in MLOps or ML platform leadership
- ▸Deep expertise in model training orchestration, serving, and monitoring
- ▸Experience with Kubeflow, MLflow, Vertex AI, or SageMaker
- ▸Strong Python and familiarity with ML model serving patterns
Nice to Have
- ▸Background in large language model deployment and serving optimisation
- ▸Experience with model registries, feature stores, and ML metadata systems
- ▸Prior MLOps leadership at an AI-first company
TAL Corp is an equal opportunity employer. We believe the best team reflects the full diversity of humanity — because we are building for all of it.
Apply Through Training
At TAL Corp you don't just send a résumé — you prove yourself. Apply by joining our training program; complete it, and top performers are hired into this role.
- 1Register & start your 7-day program
- 2Train, build real skills, earn a credential
- 3Top performers → straight into hiring
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