- Experience: 10+ years.
- Technical Focus: Greater emphasis on Deep Learning, TensorFlow, and PyTorch.
- Production ML: Stronger focus on MLOps, model deployment, monitoring, versioning, and production-grade solutions.
- Cloud: Azure experience has become more key.
- Data: includes structured, unstructured, and time-series data.
- Computer Vision: Image Classification and Object Detection
- Industrial ML: Continued focus on predictive maintenance, anomaly detection, process optimization, forecasting, and sensor analytics.
- Tools: More emphasis on Databricks, Spark, Kubernetes, MLflow, and Airflow.
- Real-time ML: Edge deployment and real-time machine learning are highlighted more strongly.