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Senior Python Engineer (AI/ML, Data)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Python Engineer (AI/ML, Data): Building and optimizing complex data pipelines, AI/ML systems, and cutting-edge software solutions with an accent on technical leadership and architectural decisions. Focus on designing scalable, maintainable, and efficient data pipelines and exploring advanced AI/ML frameworks.

Location: Ramat Gan, Israel

Company

hirify.global develops systematic financial strategies and predictive signals through a proprietary research platform across global markets and asset classes.

What you will do

  • Lead a small team developing complex data pipelines, AI/ML systems, and software solutions.
  • Manage technical objectives while maintaining a hands-on contribution to Python development.
  • Design, implement, and optimize scalable and maintainable data pipelines.
  • Drive software architecture and design decisions across the business-facing technology organization.
  • Mentor junior engineers, conduct code reviews, and collaborate with researchers, portfolio managers, and cross-functional teams.
  • Research, design, code, test, and deploy firmwide platforms and tooling.

Requirements

  • 7+ years of experience as a Python developer, focused on data engineering and AI/ML systems.
  • Expert knowledge of Python and its ecosystem, including Pandas, NumPy, and PySpark.
  • Experience designing scalable data pipelines and working with AWS, GCP, or Azure.
  • Experience with Docker, Kubernetes, Git, CI/CD, and agile methodologies.
  • Master’s degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
  • Strong communication skills for explaining complex technical concepts to technical and non-technical stakeholders.

Nice to have

  • Experience with AI/ML frameworks such as PyTorch or scikit-learn.
  • Experience with large language models, AI agents, or systems of agents.
  • Finance industry experience.

Culture & Benefits

  • Academic sensibility combined with accountability for results.
  • Encouragement to challenge conventional thinking and continuously improve.
  • Collaborative work with researchers, portfolio managers, and technology teams.
  • Relaxed yet intellectually driven work environment.

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