Pgim - Newark, NJ
posted 3 months ago
As a VP, Principal Machine Learning Engineer at Prudential, you will play a pivotal role in enhancing the organization's capabilities through innovative machine learning solutions. You will collaborate closely with Data Scientists, Data Engineers, and Data Analysts to implement machine learning models that ensure stability, scalability, and seamless integration with existing products and services. Your work will focus on operationalizing machine learning software models that address real-world business challenges, while also aligning with the product and data science teams to streamline the development roadmap. In this role, you will be responsible for solving complex problems by writing and testing application code, developing and validating machine learning models, and automating tests and deployment processes. You will leverage cloud-based architectures to deliver optimized machine learning models at scale and construct efficient data pipelines to support these models. Your expertise will also extend to continuous integration and continuous deployment best practices, ensuring successful deployment of machine learning models and application code. As a technical leader, you will set the standards for machine learning practices within the organization, providing guidance and mentorship to team members while fostering a culture of continuous learning and innovation. You will be expected to maintain a broad knowledge of innovative principles and theories, and apply this knowledge to critical applications. Your programming skills in languages such as Python, R, SQL, Java, or Scala will be essential in executing your responsibilities effectively.