Model Development & Training (TensorFlow, PyTorch, Scikit-learn, XGBoost)
AutoML Platforms (Google AutoML, H2O.ai, DataRobot, Azure AutoML)
MLOps & Model Deployment (MLflow, Kubeflow, Amazon SageMaker, Vertex AI)
Data Labeling & Annotation (Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth)
Data Engineering & Pipelines (Apache Airflow, Prefect, Luigi, Dagster)
Containerization & Orchestration (Docker, Kubernetes, KServe, BentoML)
Version Control for ML (DVC, Git, Weights & Biases, MLflow Tracking)
Monitoring & Drift Detection (Evidently AI, WhyLabs, Arize AI, Fiddler AI)
Prompt Engineering & LLM Tuning (LangChain, OpenAI, Hugging Face Transformers, LlamaIndex)
Workflow Automation (Apache NiFi, Zapier, n8n, Make)
Agile AI Product Development (CRISP-DM, Agile + Kanban for ML, MLOps best practices)