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 integrating these models into production systems. This work will contribute to the company's data-driven product development.

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 a strong understanding of machine learning frameworks including TensorFlow PyTorch and Scikit-learn. Experience in MLOps and Data Engineering is essential for building and maintaining robust systems.