The role involves participating in the establishment and implementation of new or revised application systems and programs. The incumbent contributes to systems analysis and programming activities while identifying and defining necessary system enhancements. Responsibilities include consulting with users and technology groups to recommend programming solutions and support customer exposure systems. The position requires analyzing applications to identify vulnerabilities and security issues, as well as conducting testing and debugging. Additionally, the individual serves as an advisor to other analysts and makes evaluative judgments to implement solutions. The role requires operating with limited supervision while exercising independence and autonomy.

The role requires experience designing and developing scalable machine learning systems for training, inference, monitoring, and iteration. Candidates must possess a strong background in machine learning, deep learning, and large language model algorithms, architectures, and training techniques. Proficiency in Python, SQL, Spark, PySpark, and TensorFlow is necessary. A Bachelor’s degree or equivalent experience is required for this position.