AI/ML Engineering Lead
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The role
Lead a team of AI/ML engineers to design, build, test, and maintain production AI systems.
Own the end-to-end AI model lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Set and enforce software engineering best practices for ML codebases (testing, code reviews, documentation, CI/CD, versioning).
Architect scalable and reliable AI services and pipelines that integrate with existing backend and platform infrastructure.
Collaborate with product, data, and platform teams to translate business requirements into robust AI-driven solutions.
Ensure models in production are observable, debuggable, and maintainable (metrics, logging, alerts, retraining strategies).
Own the end-to-end AI model lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Set and enforce software engineering best practices for ML codebases (testing, code reviews, documentation, CI/CD, versioning).
Architect scalable and reliable AI services and pipelines that integrate with existing backend and platform infrastructure.
Collaborate with product, data, and platform teams to translate business requirements into robust AI-driven solutions.
Ensure models in production are observable, debuggable, and maintainable (metrics, logging, alerts, retraining strategies).
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