The role involves developing and deploying machine learning models. The individual will be responsible for building robust data pipelines and creating scalable solutions. They will also contribute to the design and implementation of new features. 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 essential. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is necessary. Expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn is also required. A strong understanding of data manipulation libraries such as Pandas and NumPy is expected.