Machine Learning Engineer - Build Scalable AI Solutions

GSV UPS General Services; United States; Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

GSV UPS General Services in Atlanta, GA, seeks a senior ML engineer to design, build, test, and deliver ML models and software components that solve complex business problems. You will collaborate with business, product, architecture, engineering, and data science teams to deploy production-scale solutions using structured and unstructured data.

The role emphasizes developing scalable data pipelines, exploring ML algorithms (Keras, PyTorch, scikit-learn), and implementing end-to-end ML systems

Formación

• Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment.
• Familiarity in Machine Learning and AI frameworks (Keras, PyTorch) and libraries (scikit-learn).
• Experience establishing end-to-end solution design components to support batch and live streaming predictions.
• Creative and critical thinking skills in complex problems.
• Productionizing ML models (classification/regression, NLP, deep learning).
• Experience with scalable data processing, feature development, and model optimization.
• Strong understanding of statistics (forecasting, time series, hypothesis testing, classification, clustering).
• Knowledge of SDLM/SDLC, Agile, and cloud infrastructures.

Responsabilidades

• Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models.
• Researches and implements ML algorithms and tools for business requirements.
• Collaborates with teams to deliver ML products and systems for the organization.
• Designs workflows and analysis tools to streamline ML model development at scale.
• Creates and evolves ML models and software enabling state-of-the-art intelligent systems.
• Extends existing ML libraries and frameworks with new developments in DS/ML.
• Establishes, configures, and supports scalable cloud components that serve prediction model transactions.
• Integrates data from authoritative sources to form the foundation of a new Data Product.

Conocimientos

Distributed computing

Keras

PyTorch

scikit-learn

NLP

End-to-end ML

Model optimization

Statistics

Cloud

Agile

Teamwork

Communication

Educación

Bachelor’s degree in quantitative field

Descripción del empleo

GSV UPS General Services in Atlanta, GA, seeks a senior ML engineer to design, build, test, and deliver ML models and software components that solve complex business problems. You will collaborate with business, product, architecture, engineering, and data science teams to deploy production-scale solutions using structured and unstructured data.

The role emphasizes developing scalable data pipelines, exploring ML algorithms (Keras, PyTorch, scikit-learn), and implementing end-to-end ML systems