À propos
RESPONSIBILITIES • Transforms and develops data science prototypesinto production grade ML and AI agent systems using appropriate datasets and data representation models with moderate complexity. • Researches, evaluates, 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 implementsend-to-end ML and AI agent 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. • Designs, builds, and maintains AI agent systems that autonomously or semi‑autonomously execute multi‑step tasks, interact with enterprise data, APIs, tools, and other agents, and support human‑in‑the‑loop decision‑making where appropriate. • 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 • Designs and executes experiments, evaluations, and success metrics for ML models and AI agents, including performance, reliability, accuracy, and business impact. • Implements monitoring, logging, and observability for ML systems and AI agents to ensure ongoing performance, traceability, and continuous improvement. • 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.
QUALIFICATIONS Requirements: • Experience designing and building large/data-intensive solutions using distributed computing within a multi-line business environment. • Knowledgeable in Machine Learning and Artificial Intelligence, and Generative AI 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 designing and implementing AI agent or agent‑like systems, including task orchestration, tool usage, prompt engineering, workflow automation, and integration with enterprise systems. • 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. Employee Type: Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Other Criteria: UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law. Basic Qualifications: 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.
Compétences linguistiques
- English
Avis aux utilisateurs
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