The role involves developing and deploying machine learning models. It requires building and maintaining data pipelines for model training and inference. The position focuses on improving the performance and scalability of AI systems. This work will contribute to the advancement of the company's AI capabilities.

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