Top AI & Machine Learning Jobs

Lead enterprise data strategy, governance, architecture, and analytics. Build and mentor data engineering, science, and analytics teams; deliver scalable data platforms, ML models, and BI reporting; ensure compliance, performance, and stakeholder-driven data solutions.

Develop and optimize ML pipelines and Language Models, implement agentic AI systems, deploy ML components on GCP, and improve models based on feedback.

The position involves building AI systems using language models, managing ML pipelines, and requiring expertise in MLOps and cloud services.

Build and enhance an ML platform supporting the full model lifecycle, scalable training and real-time prediction services, expand NLP capabilities, design data engineering solutions, maintain production reliability, and mentor junior engineers.

The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.

Design and develop methods for analyzing big data to generate insights for healthcare applications, using statistical methods and machine learning. Collaborate across teams to improve predictive modeling and data utility.

As a Senior ML Engineer, you will develop ML pipelines, work with language models, and build agentic AI systems while implementing MLOps practices.

As a Data Scientist, you'll solve healthcare challenges using machine learning and predictive modeling while collaborating with various teams to enhance operational outcomes.

The Sr. Data Scientist will utilize statistical and machine learning techniques to solve healthcare-related problems and enhance predictive modeling across products, collaborating closely with various teams.