The role involves developing and deploying machine learning models. It requires building and maintaining data pipelines for model training and inference. The position also entails collaborating with cross-functional teams to integrate AI solutions into existing products. The individual will be responsible for evaluating and improving model performance.

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 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.