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Machine Learning Engineer image - Rise Careers
Job details

Machine Learning Engineer - job 4 of 50

Job Summary

A company is looking for a Machine Learning Engineer to join their Cloud Operations team.

Key Responsibilities
  • Design, build, and maintain MLOps pipelines for model training and deployment
  • Collaborate with data teams to create and manage data pipelines and feature stores
  • Define and manage scalable infrastructure for model training and inference using container orchestration platforms
Required Qualifications
  • 3+ years of experience in software engineering or DevOps, with 1+ years in MLOps or ML infrastructure
  • Strong background in deploying machine learning models to production
  • Advanced proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
  • Experience with cloud platforms (preferably GCP) and infrastructure tools like Docker and Kubernetes
  • Solid understanding of data engineering concepts such as ETL and data partitioning

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
August 1, 2025

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