The Data & AI/ML Engineer position involves building and optimizing machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. The role requires the implementation of end-to-end MLOps pipelines for model training, deployment, and monitoring, as well as leveraging cloud-based AI services such as AWS SageMaker, Google Vertex AI, and Azure ML to develop scalable ML solutions. Additionally, the engineer will work with big data technologies including Spark, Hadoop, BigQuery, and Databricks for data preprocessing and feature engineering.