MLOps Engineer
Experiment Tracking
DVC
Version control system for machine learning data, models, and pipelines.
MLflow
Open-source platform for tracking experiments and managing the ML lifecycle.
Weights & Biases
Experiment tracking, dataset versioning, and model management platform.
Model Serving
Kubeflow
Kubernetes-native platform for building and deploying ML workflows.
NVIDIA Triton
Open-source inference server for deploying models at scale across hardware.
Ray Serve
Scalable model-serving library built on the Ray distributed compute framework.
Managed ML Platforms
Amazon SageMaker
Fully managed AWS service for building, training, and deploying ML models.
Databricks
Unified data and AI platform built around Apache Spark and the lakehouse.
Feast
Open-source feature store for operationalizing ML features in production.