About this role
Architect, develop, and deploy production-grade ML models and LLM-based applications to power consumer experiences across mobile, web, and in-store channels. Manage the end-to-end ML lifecycle from data extraction and feature engineering to deployment and continuous retraining.
Requires at least 5 years of experience building real-time production ML applications with strong proficiency in Python and MLOps tools like Kubeflow. Candidates should be skilled in PyTorch, GCP, and BigQuery SQL, with a proven ability to translate business needs into technical ML solutions.
What they're looking for
Machine LearningPyTorchFastAPIKubeflow PipelinesGCP VertexAILLM AgentsPythonBigQuery SQL
Frequently asked questions
What does a Machine Learning Engineer at Sephora do?
Architect, develop, and deploy production-grade ML models and LLM-based applications to power consumer experiences across mobile, web, and in-store channels. Manage the end-to-end ML lifecycle from data extraction and feature engineering to deployment and continuous retraining. Requires at least 5 y…
What skills does this Machine Learning Engineer role need?
Key skills for this role include Machine Learning, PyTorch, FastAPI, Kubeflow Pipelines, GCP VertexAI, LLM Agents.
How much does a Machine Learning Engineer at Sephora pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer role?
You can apply directly on Sephora's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.