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Senior Data Scientist (AI & ML)

Формат работы
onsite
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 Data Scientist (AI & ML Focus): Designing, implementing, and improving ML and AI models to drive business outcomes across various domains with an accent on the end-to-end ML lifecycle, model evaluation, and leveraging generative AI. Focus on enhancing existing workflows, exploring new product opportunities, and ensuring performance and scalability.

Location: Tel Aviv

Company

hirify.global is a successful market leader in live-streaming, connecting 450+ million users globally to talented creators, enabling them to engage with fans and monetize their content.

What you will do

  • Design, implement, and improve ML and AI models for recommendation systems, image recognition, and ChatBots.
  • Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, validation, and deployment.
  • Design evaluation pipelines to prove model performance, scalability, and consistency.
  • Leverage generative AI and LLMs to enhance workflows and explore new product opportunities.
  • Collaborate with Product, Engineering, and Analytics teams.
  • Communicate complex findings and model insights to stakeholders.

Requirements

  • BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
  • 4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
  • Proven experience with AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.).
  • Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
  • Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, and model interpretability.
  • Solid background in data analysis and statistics; ability to design experiments and interpret results.

Nice to have

  • Experience developing recommendation engines, especially with deep learning and reranking techniques.
  • Experience with LLM-based applications, prompt engineering, and Agents development.
  • Experience working in cloud environments, especially Google Cloud Platform (GCP) — BigQuery, GCS, Vertex AI.

Culture & Benefits

  • Join a team of 500+ global employees in a culture of growth, learning, and success.
  • Work in a fast-paced, production-critical environment.
  • Contribute to a platform aiming to be the leader in the live-streaming industry.
  • Experience a vigorous team culture that embraces challenges and innovation.

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