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Top Data Engineer Jobs in Seattle, WA
As an AI Engineer, you will be responsible for training and tuning AI/ML models, performing model evaluations, building large-scale AI/ML pipelines, and developing evaluation frameworks. This involves significant work with deep learning, transformer models, and data engineering.
In this role, you will lead the development and deployment of machine learning algorithms, train complex models, and collaborate with various engineering teams to integrate AI functionalities into Atlassian products. You'll also be involved in designing system architectures and mentoring other ML engineers while ensuring efficient AI innovation across the company's platforms.
Manage a team of Data Scientists to develop machine learning models to enhance business growth opportunities. Define data requirements, extract data from warehouses, build robust predictive models, and educate business teams on model implications. Oversee all aspects from problem identification to solution implementation within an enterprise setting.
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The Senior Analytics Engineer will lead the development of data marts and pipelines, collaborate with cross-functional teams, and ensure that data models meet business requirements. They will also mentor junior engineers and set standards for data quality within the organization.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
The Staff Machine Learning Engineer will develop and productionize machine learning models, collaborate with product teams, ensure code quality, research emerging technologies, and share knowledge through presentations. They will focus on solving business challenges with AI-driven solutions and implementing machine learning systems.
As a Data Architect at PwC, you will design and develop data solutions, focusing on data infrastructure and pipeline implementation. You will collaborate with stakeholders to tailor data solutions that meet business needs while ensuring compliance with governance and security policies.
The role involves managing data center vendor relationships, overseeing deals from planning to execution, and collaborating with various teams to ensure effective sourcing and budget management for Cloudflare's infrastructure growth.
As a Data Engineer II at Chewy, you will design and maintain data architectures and pipelines, building high-quality analytic solutions. You will collaborate with analytics teams, mentor data practitioners, and improve enterprise data processes while documenting technical work and following agile methodologies.
The Database Manager will oversee support, maintenance, and enhancements of CRM systems while ensuring effective data management and quality. Responsibilities include user administration, data integrity, tool integration, compliance procedures, training, and collaboration with stakeholders to improve processes and systems.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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