Senior Machine Learning Engineer – Google Cloud
| Company | United Parcel Service (UPS) |
|---|---|
| Location | Louisville, KY, USA, Mahwah, NJ, USA, Parsippany-Troy Hills, NJ, USA, Atlanta, GA, USA |
| Salary | $101400 – $187860 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Experience designing and building large/data-intensive solutions using distributed computing within a multi-line business environment.
- Expert in developing solution in the Google Cloud Platform Stack (Vertex AI, Terraform, Cloud Run, etc…)
- Knowledgeable in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aid in streamlining the development of machine learning or AI systems.
- Strong 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.
- Experience in developing and implementing 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 deploying highly scalable software, scalable feature pipeline and model optimization that is supporting millions of transactions and/or substantial number of users.
- Experience in creating products and services that leverages best practices around software development lifecycle (SDLM), Agile development and cloud technology.
- 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.
- Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory and Probability.
- Works collaboratively with management, and, in a technical and cross-functional context.
- Strong written and verbal communication
- Possesses creative and critical thinking skills.
- 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.
Responsibilities
- Transforms and develops data science prototypes into ML systems using appropriate datasets and data representation models with moderate complexity.
- Researches and implements appropriate ML algorithms and tools that create new systems and processes powered with ML and AI tools and techniques according to business requirements.
- Designs and implements workflows and analysis tools to streamline the development of new ML models at scale both in batch and streaming mode.
- Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modeling lifecycles.
- Extends existing ML libraries and frameworks with the developments in the Data Science and ML field for enterprise use.
- 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 that is necessary for ML systems.
- Collaborates with skilled Designers, Architects, Software Engineers, Data Scientists and Data Engineers to deliver ML products and systems for the organization.
Preferred Qualifications
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No preferred qualifications provided.