Top Machine Learning Jobs in Charleston, SC
The Senior Machine Learning Engineer at Workiva will deliver ML solutions by developing and integrating innovative features. Responsibilities include designing systems for rapid ML development, developing APIs, maintaining ML infrastructure, mentoring team members, and collaborating with product teams. The role requires problem analysis for service stability and engagement with support teams among other duties.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Principal Machine Learning Engineer, you'll define and execute advanced machine learning models to solve complex business problems, optimize practices for Unity's Ad platform, and lead the direction of machine learning strategies to enhance product performance.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
In this role, you will develop, train, document, deploy, and manage machine learning models, working with both internal and external customers to enhance Wikipedia and related projects. Responsibilities include gathering training data, model deployment, and providing ongoing model monitoring and support.
The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.
Top Companies in Charleston, SC Hiring Data + Analytics Roles
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