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The MLOps Engineer will coordinate model development and deployment with data scientists, implement CI/CD pipelines for machine learning models using AWS tools, automate build and deployment processes, and optimize machine learning workflows on AWS Sagemaker. This role involves monitoring model performance and handling issues like model degradation or data drift.

The Principal Consultant – Delivery Leader is responsible for client engagement delivery, relationship management, and enabling client growth using AI and analytics. They lead solution development, manage multiple client projects, build high-performing teams, and implement best practices for program management.

The Senior Data Scientist will develop hypotheses, execute experimental methods, and derive actionable insights from data. Responsibilities include providing recommendations based on various data types, collaborating with eCommerce and Digital Marketing leaders, and ensuring reporting solutions meet business needs. This role requires expertise in statistical methods and predictive modeling to drive strategic decisions.

As a Site Reliability Engineer, you'll ensure high system availability and performance by monitoring, troubleshooting, automating solutions, and collaborating on resilient architecture. Your role will involve addressing complex issues and improving deployment processes, contributing to a highly available platform for Fractal's clients.

Lead analytical projects to help clients address business challenges by providing insights into marketing performance and digital analytics. Collaborate with diverse stakeholders, manage multiple projects, and deliver actionable recommendations based on data analysis.

The Executive Assistant to the CFO will support the CFO by managing appointments across time zones, acting as a liaison with senior management, and handling various administrative tasks like travel arrangements and invoicing while ensuring confidentiality and effective communication.

As a Data Scientist specializing in Machine Learning, you will develop and implement machine learning and statistical models to enhance client business operations, collaborate with teams, research advancements in AI, and lead initiatives for data analytics capabilities.