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# Senior Platform Machine Learning Engineer

- **Company:** Insight Global
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $197,000.0 - $218,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Systems Engineering, Cloud Computing, Continuous Integration, DevOps, Distributed Systems, Machine Learning, Software Engineering, Backend, Kubernetes, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Terraform, Docker
- **Published:** August 4, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/new-york/new-york/senior-platform-machine-learning-engineer/job-559045/

## About the Role

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

7+ years of experience in software engineering, platform engineering, or DevOps/SRE roles.

Strong systems engineering background with production operations experience.

Strong experience with backend or platform services.

Hands-on experience with cloud infrastructure and tooling (e.g., AWS, Docker, Kubernetes, Terraform, CI/CD, monitoring).

Experience operating distributed systems in production.

Strong problem-solving skills and an operations-first mindset.

Ability to thrive in a fast-paced, high-tech environment and manage complex problems.

Nice to Have Skills & Experience

Experience with machine learning infrastructure, model serving, or data platforms

## Description

We're looking for an experienced Machine Learning Engineer with a strong background in cloud infrastructure, automation, and scalable systems. This role focuses on building and maintaining the platforms that enable machine learning and data teams to develop, deploy, and operate solutions efficiently and reliably.

Success in this position requires strong technical judgment, a proactive mindset, and a passion for improving developer and operational experiences. You'll work closely with engineers, data scientists, and cross-functional partners to create resilient systems that support innovation at scale. This is an opportunity to make a meaningful impact by shaping the infrastructure, tooling, and operational foundations that power modern AI and data-driven products.


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