Senior/Staff Machine Learning Engineer
Core
Build MLOps infrastructure from the ground up to support AI authentication, search, recommendation, and future dynamic pricing/marketing systems.
Role type
Senior/Staff Machine Learning Engineer (MLOps Infrastructure)
Builds
MLOps infrastructure, multi-model AI architectures, and production ML systems for authentication and marketplace features
Domain
E-commerce, Fashion, AI/ML Infrastructure
Deliverable
production ML models
Required skills
MLOps infrastructure design, automated continuous retraining pipelines, multi-model AI architectures, model registry and tracking, feature stores, low-latency high-throughput ML inference services, containerization, Infrastructure as Code
Preferred skills
Vector databases, Visual RAG pipelines, Deep Learning VLM models, edge computing optimization, advanced monitoring for model performance
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, optimize, and scale computer vision and VLM models for fraud detection and product authentication; design robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring; mentor the ML team and provide horizontal infrastructure support to multiple domains
Seniority
Senior/Staff, hands-on IC with strategic builder mindset
