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Senior Machine Learning Engineer

At-Bay·Israel·en
PresencialTiempo completoAI EngineeringInsurance

Join an international insurance company building technology-driven products for digital risk. You will develop production-grade machine learning services, infrastructure, and tooling while helping data scientists deliver reliable, maintainable code.

Responsabilidades

  • Transition machine learning workloads from research into scalable, efficient, and reliable production systems
  • Design, build, maintain, and monitor machine learning services and infrastructure
  • Integrate machine learning capabilities into production systems with engineering and DevOps teams
  • Own the data infrastructure and tooling supporting machine learning systems
  • Transform unstructured data into analysis-ready formats
  • Help data scientists write readable and maintainable production code
  • Raise software engineering standards across the machine learning team

Requisitos

  • At least 4 years of software engineering experience, including hands-on machine learning experience
  • Strong Python and software engineering fundamentals, including object-oriented programming, design patterns, SOLID, clean code, and architecture
  • Bachelor’s degree or higher in Computer Science or another STEM field
  • Understanding of core machine learning concepts, including linear regression
  • Experience building services and tools for tracking the machine learning lifecycle and optimizing workloads
  • Working knowledge of data cleaning and data wrangling
  • Experience with AWS, particularly EKS
  • Strong execution skills and attention to detail

Se valora

  • Experience with experiment tracking and data versioning
  • Experience with CI/CD or continuous training practices
  • AWS and Kubernetes operations experience
  • Experience deploying and maintaining machine learning models
  • Data science exposure

Beneficios

  • Strong emphasis on work-life balance
  • Office in central Tel Aviv near public transportation
  • Collaborative, international team
  • Work in a fast-growing technology and insurance environment

Compatibilidad

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