JOB DETAILS
Software Engineer – Data & ML Systems
CompanySKF AI
LocationYoqneam Illit
Work ModeOn Site
PostedMay 31, 2026

About The Company
No description available for this Company.
About the Role
We are looking for a Software Engineer to join our AI Development Center in Yokneam.
In this role, you will design and build backend systems and data-driven services that power our AI solutions in production, serving industrial customers at scale.
You will collaborate with engineers, data scientists, and product teams to develop reliable, scalable systems, and work on the infrastructure that enables machine learning models to operate in real-world environments.
This is an opportunity for strong backend or platform engineers to expand into cloud and machine learning systems, working on production-grade systems with real impact.
Requirements
- Strong experience in software engineering or backend development
- Experience building and operating production systems at scale
- Proficiency in Python and/or backend programming languages
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience with Docker and/or Kubernetes
- Understanding of system design, scalability, and reliability principles
- Strong problem-solving skills and ownership mindset
Nice to Have:
- Experience with AWS in production environments
- Exposure to data pipelines or ML-related systems
- Familiarity with CI/CD and DevOps practices
- Experience with infrastructure-as-code tools
Key Skills
Data EngineeringMLOpsAWSPythonDockerKubernetesCI/CDMachine LearningAutomationCloud InfrastructureModel DeploymentMonitoringLifecycle ManagementTechnical LeadershipMentorshipCollaboration
Categories
TechnologyData & AnalyticsSoftwareEngineering
Job Information
📋Core Responsibilities
The role involves designing, implementing, and maintaining MLOps pipelines for model training and deployment. The engineer will also collaborate with Data Scientists and DevOps to integrate models into production systems.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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