4 часа назад
Senior Data Science Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Science Engineer (AI): Developing scalable data collection and analysis pipelines for AI infrastructure and failure prediction with an accent on data quality, anomaly detection, and high-speed connectivity data. Focus on applying machine learning techniques, building automated collection methods, and analyzing complex engineering data across global cross-functional teams.
Location: Haifa, Israel
Company
provides rack-scale AI infrastructure through semiconductor-based connectivity solutions and its COSMOS software suite, integrating technologies such as CXL, Ethernet, NVLink, PCIe, and UALink.
What you will do
- Identify critical data points and sources for collection and analysis.
- Develop automated and scalable data collection pipelines.
- Create, test, and deploy scripts and methods for data analysis and decision support.
- Ensure data quality, integrity, and consistency across data sources.
- Apply machine learning and AI techniques to refine results and support failure prediction.
- Collaborate with cross-functional teams and colleagues across global locations.
Requirements
- Bachelor’s degree in computer science, data science, engineering, mathematics, or a related field.
- Proficiency in Python, R, or MATLAB.
- Strong experience with Pandas, NumPy, and SQL for data manipulation and analysis.
- Experience with machine learning and AI frameworks such as TensorFlow and Scikit-learn.
- Understanding of high-speed interfaces including Ethernet, PCIe, and WiFi.
- Experience with data visualization tools such as Tableau, Matplotlib, or Grafana, plus strong analytical and critical-thinking skills.
Nice to have
- Embedded firmware development with C and scripting with Python.
- Master’s degree in a relevant field.
- Experience with AWS, Azure, or GCP for data storage and processing.
- Familiarity with Hadoop or Spark.
- Knowledge of engineering design tools and processes.
Culture & Benefits
- Work independently and collaboratively with teams across the globe.
- Customer-focused, goal-driven, entrepreneurial, open-minded, and innovative working environment.
- Inclusive workplace welcoming diverse backgrounds and experiences.
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