Top Data Engineer Jobs in NYC, NY
The role involves developing NLP capabilities for Peloton's fitness content, enhancing existing platforms, conducting experiments in NLP, building and deploying machine learning models, and optimizing search algorithms.
The Machine Learning Infrastructure Engineer will develop and support ML infrastructure for AI/ML teams, collaborating closely with engineers and scientists. Responsibilities include building scalable infrastructure for ML model development, managing lifecycle and monitoring, and creating an internal training platform for offline experimentation.
The Senior Machine Learning Engineer will manage AI/ML projects from concept to deployment, optimize ad serving and search products, implement evaluation tools for models, and mentor junior members while collaborating across the organization.
As a Senior Manager in Machine Learning Engineering, you'll lead an Agile team focused on productionizing and optimizing ML applications at scale. Responsibilities include designing, building, and validating ML models, collaborating with cross-functional teams, implementing cloud-based architectures, and ensuring responsible AI practices. You'll also oversee the management of ML systems and lead teams towards developing scalable and efficient solutions in a fast-paced environment.
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The Staff Machine Learning Engineer will build, optimize, and deploy machine learning models for identity resolution and ads attribution, collaborating with cross-functional teams and ensuring code quality. The role involves staying updated on ML technologies and applying them to solve complex problems.
The Adtech Privacy & Data Protection Specialist role involves supporting privacy initiatives focused on North American and European regulations. Responsibilities include ensuring compliance with privacy laws, conducting risk assessments, managing data flows within advertising systems, creating privacy policies, and training employees on privacy regulations.
The Portfolio & PMO Lead will oversee the governance of AI and Data Analytics projects, managing a $200M portfolio. Responsibilities include implementing standardized processes, influencing strategic decisions, and ensuring alignment with company objectives. The role requires leadership and a focus on continuous improvement to enhance workflow efficiency.
As an intern, you will collaborate with AI and Data Science teams to apply machine learning techniques on unique data assets, engaging in research partnerships and contributing to projects that enhance business operations at J.P. Morgan.
As the Director of Data & Analytics Engineering at Zocdoc, you will lead the analytics and data engineering teams to develop high-quality data infrastructure and tools, guiding data consumers across the organization. Responsibilities include setting technical strategies, managing teams, overseeing data governance, and promoting data quality and security.
As a Data Governance Manager, you will lead a team to solve complex business issues related to data protection and governance. You will manage projects focusing on data governance strategy, technology implementation, and assist clients in navigating legal and regulatory processes. Your role involves coaching team members, building stakeholder relationships, and maintaining high standards of work.
As an Analytics Engineer, you will enhance data interaction for analysts and data scientists by implementing data infrastructure and processes. Responsibilities include building data models, collaborating with stakeholders, monitoring data pipeline health, developing analytic frameworks, and increasing data literacy through training and documentation.
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