2 месяца назад
Software Engineer (DS Team)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (DS Team) (machine learning): Building and operating production-grade ML services by transitioning ML workloads from research to production with an accent on scalability, efficiency, and reliability. Focus on designing ML infrastructure and monitoring, integrating ML into production systems, and shaping unstructured data into analysis-ready formats.
Location: Tel Aviv, Israel
Company
is an insurance company built by cybersecurity experts, using technology to understand digital risks and deliver better insurance products.
What you will do
- Transition ML workloads from research to production, ensuring scalability, efficiency, and reliability.
- Design, build, and maintain ML services, their infrastructure, and monitoring across the full lifecycle.
- Integrate ML into production systems in close collaboration with engineering and DevOps teams.
- Own ML data infrastructure and tooling, transforming unstructured data into analysis-ready formats.
- Support data scientists by improving code readability and maintainability, raising software engineering standards across the team.
Requirements
- 4+ years as a software engineer with hands-on experience in the ML domain.
- Strong Python and software engineering fundamentals (OOP, design patterns, SOLID, clean code, architecture).
- Bachelor’s degree or higher in Computer Science or another STEM field.
- Solid understanding of core ML concepts and experience deploying models into production.
- Experience building services/tools that track the ML lifecycle and optimize ML workloads.
- Experience with AWS, specifically EKS.
Nice to have
- Experience integrating MLOps tooling (experiment tracking, data versioning) and CI/CD practices.
- Ops experience with AWS and Kubernetes.
- Data science exposure, especially deploying and maintaining models.
Culture & Benefits
- Emphasis on work-life balance.
- Office in central Tel Aviv near major transit stops.
- Work with a team described as passionate, smart, and fun.
- Opportunity to tackle challenging problems in a fast-growing tech startup environment.
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