Job Description
This role is for one of the Weekday's clients
Min Experience: 7 years
Location: Remote (India)
JobType: full-time
As an Applied AI Manager, you will own the end-to-end productionization of AI research into reliable, scalable, and continuously improving production systems. This is a mission-critical, hands-on leadership role that sits at the intersection of AI research and real-world deployment. You will be responsible for ensuring that AI models transition seamlessly from experimentation to stable production and remain performant, cost-efficient, and well-monitored over time. Leading a hybrid team of MLOps engineers and Applied AI scientists, you will act as the primary bridge between research and engineering, owning the full lifecycle of deployed models—from training and inference to monitoring, retraining, and retirement—while driving strong execution standards and cross-functional alignment.
Requirements
Key Responsibilities
- Own and drive the productionization...
Min Experience: 7 years
Location: Remote (India)
JobType: full-time
As an Applied AI Manager, you will own the end-to-end productionization of AI research into reliable, scalable, and continuously improving production systems. This is a mission-critical, hands-on leadership role that sits at the intersection of AI research and real-world deployment. You will be responsible for ensuring that AI models transition seamlessly from experimentation to stable production and remain performant, cost-efficient, and well-monitored over time. Leading a hybrid team of MLOps engineers and Applied AI scientists, you will act as the primary bridge between research and engineering, owning the full lifecycle of deployed models—from training and inference to monitoring, retraining, and retirement—while driving strong execution standards and cross-functional alignment.
Requirements
Key Responsibilities
- Own and drive the productionization...
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