The role involves developing and deploying machine learning models. This position will focus on building and maintaining data pipelines. The individual will be responsible for creating and implementing new features. They will also contribute to the overall architecture of the systems.

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 principles and data engineering practices is essential.