Principal Machine Learning Engineer

Equinix Inc.

Python proficiency for ml systems
Production-grade ml system deployment
Multi-cloud platform experience gcp aws azure
You will design, build, deploy, and scale machine learning and generative AI systems that power real-world products

Job Summary

  • You will design, build, deploy, and scale machine learning and generative AI systems that power real-world products.
  • This role blends applied machine learning, software engineering, and MLOps with a strong focus on building robust, scalable systems.
  • Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.

Matching Summary

You will design, build, deploy, and scale machine learning and generative AI systems that power real-world products.

Skills & Requirements

Must-have

  • Python proficiency for ML systems
  • Production-grade ML system deployment
  • Multi-cloud platform experience GCP AWS Azure
  • MLOps best practices CI/CD model versioning
  • Deep learning frameworks PyTorch TensorFlow
  • LLM-based solution architecture and agents

Nice-to-have

  • Experience with Google Agentspace Microsoft Copilot Salesforce Agentforce
  • Classical ML models regression classification clustering
  • Computer vision solutions YOLOv7 DDRNet
  • Strong communication with non-technical stakeholders
  • A/B testing and statistical performance measurement

Key Requirements

  • PhD with 5+ years or Master's with 6+ years or Bachelor's with 7+ years experience
  • Solid understanding of software engineering fundamentals and system design
  • Hands-on experience with at least one major cloud platform

Work Rights

Not specified

Tailored Resume

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