The role involves developing and deploying machine learning models. This position will focus on building and maintaining data pipelines for model training. The individual will also be responsible for evaluating model performance and iterating on solutions. 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 such as AWS is necessary. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes is also required. Experience with machine learning frameworks including PyTorch TensorFlow and Scikit-learn is essential. Knowledge of MLflow for experiment tracking is needed.