Machine Learning Engineer- Spark/Python

UPS, a Fortune Global 500 organization with a rich history dating back to 1907, is seeking a Machine Learning Engineer to join their innovative team. This role combines cutting-edge ML technology with practical business applications in the world's largest package delivery service.

The position involves designing, building, and maintaining machine learning models that power critical business applications, including digital insurance applications and claims recommendation engines. You'll work with modern ML frameworks and tools while handling both batch and real-time prediction systems.

As an ML Engineer, you'll collaborate across multiple teams including Business, Product, Architecture, Engineering, and Data Science, ensuring that ML solutions effectively address business challenges. The role requires a strong foundation in Python, Spark, and distributed computing, along with expertise in modern ML frameworks like Keras and PyTorch.

Key responsibilities include maintaining production ML models, setting up cloud monitoring, performing quality assurance, and providing on-call support. You'll work with both structured and unstructured data, developing end-to-end ML solutions that scale effectively in a production environment.

This is an excellent opportunity for a skilled ML engineer looking to impact global logistics operations while working with a diverse team in a company known for innovation and reliability. The role offers exposure to complex business problems and the chance to work with state-of-the-art ML/AI technologies in a production environment.