Top Data & Analytics Jobs
As a Principal Machine Learning Operations Engineer at IAS, you will develop scalable tools for machine learning training and inference, design data pipelines, and facilitate the deployment of machine learning systems. You will collaborate with data scientists and engineers while applying best practices in software engineering.
As a Trust and Safety Policy Analyst, you will develop and maintain Trust & Safety policies related to user-generated content, analyze existing guidelines, conduct efficacy reviews, and collaborate with cross-functional teams to implement policy strategies. This role involves research, oversight of training documents, and synthesizing data results to improve content policies for social media.
The Lead Data Scientist at IAS will lead the development and deployment of machine learning and deep learning models for brand safety by classifying unsafe material across digital media. This role involves working with diverse data sources, collaborating with engineers, and communicating findings to stakeholders.
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As a Staff Data Scientist at IAS, you'll lead ML projects, integrate data for production-ready models, and collaborate with cross-functional teams to optimize ad performance. You'll spearhead the development of AI models, communicate insights to stakeholders, and establish yourself as a domain expert in programmatic advertising.
The Lead Data Scientist will tackle technical challenges in brand safety, developing and deploying ML/DL models that classify unsafe material across digital platforms. They will work with diverse data sources, build production-ready models, and collaborate with cross-functional teams to integrate solutions and communicate results effectively.
As a Director of Machine Learning Operations Engineer, you will develop and deploy scalable tools for machine learning, design data pipelines, and ensure efficient model deployment. You will collaborate with researchers and engineers, applying best practices and CI/CD processes in an agile environment to enhance machine learning systems.
As a Research Scientist, you will conduct innovative research to enhance reasoning capabilities of AI models, primarily working with Transformers. Responsibilities include conducting tests on benchmark datasets, enhancing IAS products with novel approaches, and communicating results to various stakeholders.
As a FullStack Engineer Trainee, you will be involved in designing and implementing large-scale data processing pipelines, optimizing existing multimedia data processing frameworks, and collaborating with the team to apply advanced ML and AI techniques for solving real-world problems within an agile environment.
The Accounts Payable Specialist will manage invoice processing, vendor payments, and maintain compliance with financial regulations. Key responsibilities include ensuring timely payments, collaborating with departments for coding and approval, resolving discrepancies, and improving accounts payable processes while upholding SOX requirements.
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