agilefintechaipythonkubernetesgitdata engineeringdockerpandascloudllmci cdpytorchnumpyscikit learnsoftware architecturepysparkai ml
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$136к$185кмедиана$210к
48 в выборке
На СНГ рынке: $4к/мес ($3.2к - $5.1к)
85
Хорошая вакансия
развернуть
Роль четко определена с сильным акцентом на AI/ML и обработку данных, но отсутствие информации о зарплате является недостатком.
Кликните для подробной информации
Зарплата не указанаСильный технический акцентПродуктовая компанияВозможности наставничества
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →