The role involves developing and deploying machine learning models. This position will focus on building robust data pipelines and implementing scalable solutions. The individual will be responsible for optimizing model performance and ensuring the reliability of deployed 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 such as AWS is necessary. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes is also required. The candidate must have hands-on experience with machine learning frameworks including TensorFlow PyTorch and Scikit-learn. Knowledge of MLflow for experiment tracking and Airflow for workflow orchestration is essential.