The role involves developing and deploying machine learning models. The individual will be responsible for building data pipelines and infrastructure. They will also contribute to the design and implementation of new features. The position requires working with large datasets to extract insights.

The role requires proficiency in Python and SQL for data manipulation and analysis. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and Kubernetes is also required. The position necessitates expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn. A strong understanding of MLOps and data engineering principles is essential.