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Top Data Engineer Jobs in Seattle, WA
The Compliance & Privacy Analyst will conduct compliance and privacy assessments of third-party vendors, collaborating with various internal teams. Responsibilities include maintaining records of vendor assessments, improving risk management policies, and ensuring third-party compliance with legal regulations.
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.
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.
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Manage a team of Data Scientists to create and implement Machine Learning models that enhance business operations. Engage with stakeholders, define variables, and extract data for modeling. Lead projects from conception to execution while ensuring models are informative and improve decision-making processes.
The Sr Machine Learning Engineer will be responsible for developing and maintaining machine learning algorithms for Hulu's recommendation system. This includes feature engineering, optimizing algorithms, collaborating with product teams, and maintaining real-time data pipelines.
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.
The Machine Learning Engineer II will develop and optimize scalable machine learning models and data pipelines to enhance the Qualtrics platform. Responsibilities include collaborating with cross-functional teams, implementing new features, and conducting complex statistical analyses while ensuring the quality of end-to-end solutions.
The Senior Associate Data Architect at PwC designs and develops data infrastructure and systems, focusing on data processing and analysis pipelines. They collaborate with clients, ensuring data architecture aligns with business goals while implementing best practices in cloud solutions and data security.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for large data sets, and implement ML Ops. You'll collaborate with teams to ensure high-quality deliverables and stay updated on architectural technologies. Strong programming skills and experience with ML platforms are essential.
The Data Center Selection Manager will oversee vendor strategy, manage deals involving data centers, collaborate with various teams, conduct vendor management activities, and contribute to budgeting efforts. Strong relationship management and negotiation skills are essential for success in this role.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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