MLOps Engineer
Core
Senior MLOps Engineer responsible for end-to-end productionization of machine learning and GenAI systems, ensuring real-time serving, monitoring, and scalability for a global beauty and lifestyle platform.
Role type
Senior IC MLOps Engineer (GenAI/LLM focus)
Builds
Production ML pipelines, GenAI/RAG systems, and monitoring infrastructure for real-time model serving
Domain
Beauty & Lifestyle / Applied AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, GCP (Vertex AI, BigQuery), CI/CD, model deployment, drift detection, autoscaling, feature stores
Preferred skills
LLM evaluation, RAG system deployment, MLOps standardization, cost/latency optimization for GenAI
Technologies
Vertex AI, BigQuery, dbt, Airflow, Terraform, Kubeflow pipelines
Responsibilities
Own end-to-end productionization of ML work including real-time serving and CI/CD paths; deploy GenAI and RAG systems; build monitoring infrastructure for drift and quality; collaborate with Data Scientists to transition prototypes to production; advocate for Data Science needs across the organization
Seniority
Senior, hands-on IC