MLOps Jobs – Page 25

Why this is a real AI job: The role is explicitly focused on deploying and guiding customers on GenAI applications, requiring deep technical expertise in AI/LLM technologies. The core responsibilities revolve around building, prototyping, and scaling AI solutions.

About the Team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for the…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with AI models, agents, and data, and requires deep technical expertise in AI/ML concepts. The core responsi…

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with AI models, agents, and data, and requires deep technical expertise in AI/ML concepts. The core responsi…

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with models, agents, data, and evaluation – core AI activities.

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunit…

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Why this is a real AI job: The role is deeply embedded in the development, evaluation, and deployment of plugins *for* ChatGPT and Codex. It requires a strong understanding of LLMs, API integrations, and building AI-powered experiences. The focus is overwhelmingly on AI/ML technologies.

About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. Ab…

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Why this is a real AI job: The role is explicitly focused on deploying and advising customers on OpenAI's Generative AI models. The core responsibilities revolve around building applications using the API, providing technical guidance, and driving production deployments of AI solutions.

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use…

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Why this is a real AI job: The role explicitly focuses on applying OpenAI's AI models and technologies to solve cybersecurity problems. The job description details tasks such as building demos, prototypes, and reference architectures using OpenAI APIs, designing AI workflows for securi…

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value…

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Why this is a real AI job: The role explicitly focuses on applying OpenAI's AI models and technologies to solve cybersecurity problems. The job description details tasks such as building demos, prototypes, and reference architectures using OpenAI APIs, designing AI workflows for securi…

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value…

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Why this is a real AI job: The role is explicitly focused on researching and developing machine learning models for multimodal perception and authentication. The job description heavily emphasizes ML techniques, model development, data analysis, and integration into real-world systems.

About the Team The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine learning, sensing, and har…

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Why this is a real AI job: The role is explicitly focused on applying and integrating OpenAI's Codex AI model into customer workflows. The job description details building, evaluating, and deploying AI-powered solutions, making AI the core function.

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unf…

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