You will work hands-on with real-world datasets, implement and optimize models in Python using tools such as PyTorch, TensorFlow, and LangChain, and collaborate with fellow AI researchers to deliver high-quality, production-ready solutions. Moderate proficiency in software development practices relevant to ML/AI workflows, including object-oriented programming (e.g., Python, Java, C#), modular code design, and transitioning from exploratory notebooks to maintainable, production-ready packages.