Top Machine Learning Engineer Jobs in Charlotte, NC

As a Senior Manager and Data Scientist at Capital One, you lead a team to develop and innovate statistical and machine learning models for credit review processes. You'll work with large datasets, leveraging technologies such as Python and AWS while collaborating across functions to enhance business decisions and outcomes.

The Senior Machine Learning Engineer will design, develop, and deploy machine learning solutions focusing on optimization and algorithm refinement, collaborating with various stakeholders within Instacart's Logistics organization.

Lead the technical vision for machine learning at Instacart, developing AI systems for product discovery and shopping personalization. Collaborate across teams to influence ML architecture and mentor engineers.

Design and deploy intelligent systems using data-driven algorithms. Develop ML and DL models, process data, and integrate solutions into products. Collaborate across teams and evaluate model performance.

As a Senior Software Engineer at Instacart, you'll design and operate high-scale AI systems, collaborate with cross-functional teams, and drive engineering excellence across AI/ML production engineering.

The AML Analytics Senior Specialist focuses on model development, optimization, validation, and reporting in AML analytics, ensuring compliance and effective financial crime prevention.

Design and implement ML systems for improving ads targeting products, collaborating across teams and driving end-to-end execution of ML-based targeting solutions.

Responsible for creating predictive models to automate processes and improve efficiency. Requires analytical skills and experience in data modeling.

The Predictive Modeler role involves building, deploying, and maintaining predictive models to enhance automation processes.

The role involves applying advanced analytics, building predictive models, and leveraging machine learning techniques to improve trading strategies and increase efficiency.

The Predictive Modeler role involves developing predictive models to automate processes, ensuring accuracy and efficiency in data analysis.