Senior/Staff Machine Learning Engineer
Core
Building foundational MLOps infrastructure and scaling AI authentication systems for a global pre-loved fashion marketplace.
Role type
Senior/Staff Machine Learning Engineer (MLOps & Infrastructure)
Builds
MLOps infrastructure, AI authentication models, search/recommendation systems, and dynamic pricing/marketing technologies.
Domain
E-commerce, Fashion, Computer Vision, MLOps
Deliverable
production ML models | infrastructure
Required skills
MLOps infrastructure design, multi-model AI architecture, automated retraining pipelines, model registry and tracking, feature stores, low-latency ML inference services, CI/CD best practices
Preferred skills
Vector databases, Visual RAG pipelines, Deep Learning VLM models, edge computing optimization, containerization, Infrastructure as Code, advanced monitoring
Technologies
FastAPI, TorchServe, Triton Inference Server, Ray Serve, PyTorch, TensorFlow, AWS (EKS, EC2, SageMaker), Snowflake, Airflow, Kubeflow, Metaflow, MLflow, Weights & Biases, Redis, DynamoDB, Feast, dbt, Docker, Kubernetes, Terraform, Datadog, Prometheus, ONNX, TensorRT
Responsibilities
Deploy and scale heavy-width CV and VLM models for fraud detection and product authentication; design robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring; automate continuous retraining pipelines; mentor the ML team and provide horizontal infrastructure support.
Seniority
Senior/Staff, hands-on IC with strategic builder mindset