D:<br /> Core Programming & Tools<br /> Hands-on experience building and deploying ML models on large-scale production datasets<br /> Strong programming proficiency in Python with production-quality, well-structured code<br /> Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake<br /> Experience with Git for version control, code review, and collaboration<br /> Familiarity with experiment tracking and model versioning (e.g., MLflow)<br /> <br /> Classical ML & Statistical Modeling<br /> Time series forecasting (ARIMA, Prophet, deep learning approaches)<br /> Optimization modeling (linear programming, mixed-integer programming)<br /> Classification, regression, clustering, and ensemble methods<br /> Feature engineering, data wrangling, and statistical analysis on structured data<br /> <br /> LLM Application & AI Agent Developmen...