Job Description
Key Responsibilities
- Machine Learning Model Development : Build, train, and optimize baseline machine learning models to solve defined business problems, ensuring rigorous evaluation against performance benchmarks and business objectives.
- Actionable Insights Generation : Conduct deep‑diving exploratory data analysis (EDA) to interpret model outputs and statistical patterns, translating complex findings into clear, strategic recommendations for stakeholders.
- Behavioral Data Enrichment : Clean, engineer, and aggregate multi‑dimensional user activity data into robust behavioural features that improve predictive model accuracy and depth.
- AI Architecture & Pipeline Integration : Develop clean and modular Python and SQL scripts to support autonomous agent workflows, including retrieval‑augmented data ingestion and integration with real‑time inference APIs and MLOPs deployment frameworks.
- Prompt Engineering...