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Job description
We are looking for an ML Engineer who can design, build, and integrate AI-powered systems by combining machine learning models, LLMs, APIs, and enterprise data into scalable, production-grade solutions. The role requires strong system thinking, the ability to translate business needs into technical architectures, and the capability to integrate model outputs into cohesive decision systems.
Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data, translate business requirements into scalable system architectures and solution designs, develop backend services and API-driven architectures to operationalize intelligent systems, and implement data and model pipelines integrating structured and unstructured data sources.
Success in this role depends on close collaboration with Data Scientists, ML Engineers, and application teams to operationalize intelligent solutions, and requires 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems.
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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.