The role involves developing and deploying machine learning models. It also includes building and maintaining data pipelines for model training and inference. The position requires optimizing model performance and ensuring scalability of deployed solutions. 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 orchestration tools such as Kubernetes is also required. The position necessitates expertise in machine learning frameworks including PyTorch, TensorFlow, and Scikit-learn. A strong understanding of MLOps principles and practices for deploying and managing machine learning models is essential. Experience in building and maintaining data pipelines for model training and inference is also a key requirement.