Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31
Warum echter KI-Job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists. The tech stack heavily emphasizes ML tools and infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31
Warum echter KI-Job: The role is explicitly focused on building and scaling an ML platform, defining standards for MLOps, and leading initiatives to improve data science velocity. The job description heavily emphasizes technical expertise in machine learning infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on building and scaling an ML platform, defining standards for MLOps, and leading initiatives to unlock data science velocity. It requires deep expertise in relevant technologies like Spark, Delta Lake, MLflow, Unity Catalog, and D…
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Remote - USAUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on architecting and building GenAI data platforms, pipelines for knowledge ingestion, and AI-ready data models. The required skills heavily emphasize AI/ML technologies and experience with LLMs.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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Zscaler · Office - Bangalore, India
95/100
Office - Bangalore, IndiaUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models and Generative AI solutions, specifically Agentic AI architectures. The job description emphasizes LLMOps, productionization of AI agents, and optimization of ML models.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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Zscaler · Office - Bangalore, India
95/100
Office - Bangalore, IndiaUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on designing, deploying, and maintaining GenAI/ML systems in a production environment. The job description heavily emphasizes experience with LLMs, RAG, Agentic AI, and MLOps practices.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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Zscaler · Office - Bangalore, India, Office - Mohali, India
95/100
Office - Bangalore, India, Office - Mohali, IndiaUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on building and scaling the agentic layer of an AI-powered platform. The job description details hands-on work with core AI technologies like RAG, embeddings, vector databases, and LLM orchestration. Required experience includes de…
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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Office - San Jose, USAUSAgreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on leveraging GenAI, LLMs and ML models for production features. The job description details tasks like building agentic troubleshooting frameworks, evaluating state-of-the-art AI advances, working with data lakes, and handling rea…
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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San Francisco HQUSAFullTimeashby2026-07-31
Warum echter KI-Job: The role is explicitly focused on building and leading the technical strategy for foundation models, covering the entire ML lifecycle from data curation to production serving. The job description heavily emphasizes AI/ML expertise and its application to Plaid…
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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San Francisco HQUSAFullTimeashby2026-07-31
Warum echter KI-Job: The role explicitly focuses on building, deploying, and monitoring machine learning models for credit risk assessment. The job description heavily emphasizes ML techniques and the full model lifecycle.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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