Top AI & Machine Learning Jobs

The Principal AI Consultant advises on AI application in Financial Services, focusing on operational relevance and business alignment, leveraging deep industry knowledge to enhance customer experience and efficiency.

As a Data Scientist, you'll curate, optimize data, build ML pipelines, train models, and communicate findings, contributing to national security solutions.

The Principal Data Scientist will develop algorithms using extensive datasets to improve vehicle and driver safety, mentor junior data scientists, and communicate complex concepts to stakeholders.

Develop and enhance deep learning technologies for computer vision applications, collaborating within a skilled team to impact real-world solutions.

The role involves developing, deploying, and maintaining AI and machine learning models. Key responsibilities include using frameworks for various AI tasks, integrating cloud services, processing big data, and creating data visualizations.

The role involves leading strategic transformations in manufacturing using AI technologies, working closely with clients to define solutions, manage projects, and enhance user experience.

As a Software Engineer, Applied AI, you'll design and improve systems for agents, conduct evaluations, and influence product decisions based on real usage data.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

The Senior ML Engineer will build and maintain large-scale ML production pipelines, focusing on delivering production-grade solutions and collaborating with R&D teams. Responsibilities include prototyping new algorithms, managing datasets, and optimizing ML models for customer impact.

The Senior Scientist will develop AI models to analyze genomic and clinical data, generating insights for oncology and enhancing treatment decisions through advanced tools and analytics.