The role involves developing and deploying machine learning models. The individual will be responsible for building data pipelines and infrastructure to support these models. They will also contribute to the research and implementation of new AI techniques. The position requires working with large datasets to extract insights and drive product innovation.

The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and Kubernetes is also essential. The position demands expertise in machine learning frameworks such as TensorFlow PyTorch and Scikit-learn. A strong understanding of MLOps principles and data engineering practices is required. Experience with deep learning techniques is also a key requirement.