5 дней назад
Support Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Support Engineer (AI): Maintaining and monitoring data pipelines that power data science workflows while providing frontline technical support for the Fetcherr platform, with an accent on production operations, data troubleshooting, and SLA delivery. Focus on identifying pipeline issues, coordinating production schedules, and solving customer problems through collaboration with data, R&D, and product teams.
Location: Tel Aviv, Israel
Company
develops responsible AI systems for demand prediction and real-time commercial decision intelligence, initially serving the aviation industry.
What you will do
- Maintain and monitor data pipelines supporting data science workflows.
- Develop and maintain production schedules while ensuring delivery within agreed SLAs.
- Identify and proactively resolve production and data-related issues.
- Provide frontline technical support, troubleshoot platform problems, and help maintain a reliable user experience.
- Communicate delays and incidents to customers and stakeholders, maintaining accurate records of schedules, bugs, and project status.
- Coordinate with Data, Data Engineering, R&D, product management, and other teams to resolve customer issues.
Requirements
- Bachelor’s degree in computer science, information technology, or a related field.
- 1–2 years of experience in technical support, preferably in Tier 1/2 data support.
- Experience with Python and SQL.
- Experience with pipeline orchestrators, preferably Dagster or Airflow.
- Strong troubleshooting, problem-solving, attention to detail, communication, and interpersonal skills.
- English proficiency at B2/C1 level and willingness to work flexible shifts, including evenings, nights, Saturdays, and Sundays.
Nice to have
- Experience in aviation, travel technology, or high-frequency dynamic pricing environments.
- Experience with HubSpot, Zendesk, or other support ticket systems.
Culture & Benefits
- Technology startup environment focused on AI systems.
- Employment contract.
- Training and integration budget.
- Five-day shift schedule covering the full week, including night shifts and weekends, with weekday days off when applicable.
- Shift schedules are arranged with the team at least one week in advance.
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