Job Description The Mission: Build AI That Matters As a Young Graduate, you will work at the intersection of mathematical theory and cloud engineering. Your journey will involve: End-to-End ML Lifecycles: Learn to use MLflow to track experiments, manage model versions, and deploy high-performing models into production. Feature Engineering & Pipelines: Collaborate with our Data Engineers to build automated pipelines that transform raw data into "Gold" features for your models. Generative AI & LLMs: Get hands-on with Mosaic AI and RAG (Retrieval-Augmented Generation) to build intelligent agents and fine-tune Large Language Models. Advanced Analytics: Apply statistical modeling, NLP, and Deep Learning to solve real-world problems—from predictive maintenance to personalized customer journeys. Model Monitoring: Learn the "Ops" in MLOps—ensuring models remain accurate, ethical, and scalable once they hit the real world.