• You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models. • Design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. • Work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains. • Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.