Machine Learning Engineer

UPS is a Fortune Global 500 organization that is seeking a Machine Learning Engineer. The role involves designing, building, testing, and delivering machine learning models and software components to solve business challenges, collaborating with various teams to implement scalable ML solutions.

Responsibilities:

• Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models
• Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements
• Collaborates with others to deliver ML products and systems for the organization
• Designs workflows and analysis tools to streamline the development of new ML models at scale
• Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles
• Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field
• Establishes, configures, and supports scalable Cloud components that serve prediction model transactions
• Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems

Requirements:

• Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment
• Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems
• Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions
• Possesses creative and critical thinking skills
• Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features
• Experience with scalable data processing, feature development, and model optimization
• Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models
• Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development
• Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory
• Works collaboratively, both in a technical and cross-functional context
• Strong written and verbal communication
• Bachelors' (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience
• Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer