Zendesk
5001 - 10000 employees
Founded 2007
💼 Consulting
📣 Marketing
📦 Logistics
💰 Grant on 2019-09
Consulting • Marketing • Logistics
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
Senior Machine Learning Engineer
🕒 June 26
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Zendesk
5001 - 10000 employees
Founded 2007
💼 Consulting
📣 Marketing
📦 Logistics
💰 Grant on 2019-09
Consulting • Marketing • Logistics
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
📋 Description
• Own and deliver ML-powered product features end-to-end • Work closely with Scientists to productionise research outputs into reliable features • Build and maintain ML infrastructure • Contribute to technical design discussions and architecture decisions • Improve reliability, performance, and cost-efficiency of ML systems • Mentor more junior engineers
🎯 Requirements
• 5+ years of experience in software engineering with a focus on ML engineering, MLOps, or ML-powered products • Fluent in Python; working proficiency in Ruby is a plus • Experience building and operating ML systems in production: model serving, inference pipelines, and monitoring • Experience integrating LLMs into production systems • Comfortable with SQL and data infrastructure • Experience with containerized deployments (Docker, Kubernetes) and cloud infrastructure (AWS) • Strong collaboration skills
🏖️ Benefits
• Bonuses • Benefits or related incentives to be communicated during the offer stage
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