Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Strong background in statistics, experimental design, and causal inference
Ability to develop and scale complex ML/DL models
Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML)
Advanced SQL expertise for data manipulation
Deep understanding of MLOps workflows
Experience with big-data platforms (Spark, Databricks)
Knowledge of cloud-based ML platforms (Azure ML, SageMaker, Vertex AI)
Degree in Mathematics, Computer Science, Machine Learning, or related field