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Remote Senior MLOps Engineer

at Salvo Software

Posted 7 hours ago

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Description:

  • Salvo Software is seeking a Senior MLOps Engineer to design, build, and manage infrastructure for machine learning and LLM systems.
  • The role involves creating reliable paths from experimentation to production, including training pipelines, model registries, and automated deployments.

Requirements:

  • 5+ years of experience in DevOps/SRE/platform engineering, with at least 1 year in deploying ML models and LLM inference engines.
  • Proficiency in Linux, Docker, Kubernetes, major cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (Terraform, Ansible).
  • Hands-on experience with CI/CD platforms (GitHub Actions, Azure DevOps), Bash, and Python scripting.
  • Strong knowledge of networking, monitoring/logging, and security/authentication practices.
  • Familiarity with ML tooling, vector databases, and workflow orchestration tools.

Benefits:

  • Opportunity to work in a growing AI department with a focus on innovation and engineering excellence.
  • Collaborate with distributed teams across the US, LATAM, and India on complex technical challenges.

Job title

Machine Learning Ops Engineer

Job type

Full-time

Experience level

Senior

Required experience

5 years

Salary

-

Degree requirement

No degree required

Skills

Kafka Docker AWS Azure VMware GCP Kubernetes Terraform GitHub CI/CD Machine Learning Web security OAuth Large Language Models Python Bash Apache Kafka Grafana Message queues CUDA Ansible Prometheus Airflow

Location requirements

Mexico

Benefits

-

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