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Job description
As a Principal Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products. You will work closely in AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production-grade solutions across multi-cloud environments including GCP, AWS, and Azure.
Design, develop, and deploy machine learning and Large Language Model (LLM)–based solutions for production use cases, develop end-to-end ML pipelines, architect and implement LLM-powered systems, optimize ML workflows for performance, scalability, reliability, and cost efficiency in cloud environments.
Strong proficiency in Python for machine learning and production systems, solid understanding of software engineering fundamentals, system design, and design patterns, hands-on experience with at least one major cloud platform, experience building and deploying production-grade ML systems, strong communication skills, excellent time management, collaboration, and organizational skills.
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Company
Tech, Software & IT Services
Equinix is a global digital infrastructure company that provides a trusted interconnection platform, enabling enterprises to connect their IT assets, applications, and services across a worldwide network of data centers. The company’s core offerings include colocation, hybrid and multi‑cloud services, data exchange, and interconnection‑oriented architecture, all delivered through its IBX® International Business Exchange data centers. By facilitating secure, low‑latency connections between businesses, partners, and cloud providers, Equinix helps clients accelerate digital service launches, scale operations with agility, and deliver world‑class experiences. Its focus on business ecosystems and data‑centric security positions it as a leader in the digital infrastructure market, making it an attractive employer for professionals seeking to shape the future of connectivity.