5+ years building real-time production ml applications
Strong proficiency in pytorch and torch lightning
Experience with kubeflow pipelines and mlops
This high-impact role is directly responsible for building and updating ML and AI applications that power consumer experiences across Sephora's native mobile app, website, and in-store locations in Southeast Asia, ANZ, and India
Job Summary
This high-impact role is directly responsible for building and updating ML and AI applications that power consumer experiences across Sephora's native mobile app, website, and in-store locations in Southeast Asia, ANZ, and India.
The successful candidate will leverage open source LLM Agent frameworks to design workflows, choosing between pure prompt-engineering and fine-tuning while ensuring datasets are relevant and complete.
Sephora offers a culture of empowerment and learning where employees can innovate, lead, and celebrate diversity while connecting deeply with customers globally.
Matching Summary
Match Score: 85
This high-impact role is directly responsible for building and updating ML and AI applications that power consumer experiences across Sephora's native mobile app, website, and in-store locations in Southeast Asia, ANZ, and India.
Skills & Requirements
Must-have
5+ years building real-time production ML applications
Strong proficiency in PyTorch and Torch Lightning
Experience with Kubeflow Pipelines and MLOps
Expert Python programming and FastAPI framework usage
Knowledge of GCP VertexAI, Cloud Run, and BigQuery
Nice-to-have
Transformer model experience
Serverless cloud computing knowledge on GCP
Experience with reinforcement learning and Agentic AI
Background in dataset curation using DBT and PySpark
Ability to translate business requirements into ML solutions
Key Requirements
At least 5 years of experience in production ML applications
Proven track record in setting up MLOps pipelines
Strong proficiency in ML orchestration tools like Airflow or ZenML