A remote Data & ML role at AirOps. 5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required
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As a Data Scientist / MLE at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.
This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.
Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications.
Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.
Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.
Our Guiding Principles
AirOps
Data & ML
6 open roles on Sydicom
AirOps provides a platform for companies to build, deploy, and manage AI applications and intelligent agents. It offers tools and infrastructure designed to streamline the development and operationalization of AI workflows.
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