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Machine Learning Infrastructure Engineer

SKF AI

On-site
Yokneam
Full-time
Senior
5+ yrs
Salary not listedPosted 2mo ago

Real job — pulled straight from SKF AI’s careers page · Verified June 5, 2026 · No reposts.

Job description

SKF AI is hiring a Machine Learning Infrastructure Engineer — a full-time, based in Yokneam role. Apply directly on SKF AI's careers page below.

Machine Learning Infrastructure Engineer (AWS)

Location: SKF AI (IL)

Experience Level: 5 years +

Description

We are looking for a Machine Learning Infrastructure Engineer (AWS) to join our AI Development Center in Yokneam.

In this role, you will build and operate the production infrastructure powering our AI systems, enabling scalable and reliable AI solutions used by hundreds of industrial customers worldwide.

You will work at the intersection of cloud infrastructure, backend engineering, and machine learning, collaborating closely with data scientists and product teams to bring models into real-world production environments.

This is a hands-on engineering role with strong ownership, focused on designing and maintaining cloud-native systems on AWS that are robust, scalable, and production-grade.

Requirements

  • Strong hands-on experience working with AWS in production environments
  • Experience building and operating cloud-based or distributed systems
  • Proficiency in Python and/or backend development
  • Experience with Docker and Kubernetes (EKS preferred)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of system design, scalability, and reliability principles
  • Strong problem-solving skills and ability to work in a collaborative environment
  • Experience with ML systems, pipelines, or model deployment
  • Familiarity with MLOps practices
  • Experience with infrastructure-as-code tools (Terraform, CloudFormation)
  • Knowledge of monitoring and observability tools

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Frequently asked questions

What skills are required for Machine Learning Infrastructure Engineer at SKF AI?

The required skills for Machine Learning Infrastructure Engineer at SKF AI include: AWS, Python, Docker, Kubernetes, CI/CD, DevOps, Terraform, MLOps.

What is the seniority level for Machine Learning Infrastructure Engineer at SKF AI?

Machine Learning Infrastructure Engineer at SKF AI is a Senior level position.

How do I apply for Machine Learning Infrastructure Engineer at SKF AI?

You can view the full description and apply for Machine Learning Infrastructure Engineer at SKF AI on EchoJobs: https://echojobs.io/job/skf-ai-machine-learning-infrastructure-engineer-aws-p4pc5.