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. Furthermore, the individual will be responsible for monitoring and optimizing model performance in production environments.

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 essential. The candidate should have a strong understanding of machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn. Experience in MLOps and data engineering practices is required.