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 collaboration with cross-functional teams to integrate AI solutions into existing products.

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 orchestration tools like Kubernetes is also required. The position necessitates expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. A strong understanding of MLOps principles and data engineering practices is essential.