Эта вакансия пока только на английском.

← Назад к вакансиям
E

Senior Data Scientist

EPAM Systems·Израиль·en
Не указаноПолная занятостьData ScienceEnterprise SoftwareData InfrastructureIT Consulting

Join an AI and big data team developing machine learning and generative AI solutions for large-scale organizational use. The role covers tabular and textual data and involves close collaboration with engineering, analytics, and business stakeholders.

Обязанности

  • Lead end-to-end data science projects, from business problem definition and scoping through KPI setting, model development, and production deployment.
  • Develop machine learning and NLP models for text classification, information extraction, and retrieval.
  • Design generative AI environments, including intelligent agents, workflows, MCP servers, context management, and retrieval-augmented generation architectures.
  • Extract business insights, perform detailed error analysis, and monitor model performance through evaluation and observability practices.
  • Develop solutions using big data infrastructure such as Elasticsearch, Kafka, Spark, Redis, and vLLM.
  • Collaborate with data engineers, analysts, and domain experts to deliver business-focused solutions.

Требования

  • At least 3 years of experience developing data science or machine learning models.
  • Strong practical knowledge of classical machine learning.
  • Significant natural language processing experience, including open-source models, Transformers, BERT, LoRA, and supervised fine-tuning.
  • At least 1 year of hands-on experience building generative AI agents, tool-calling frameworks, and prompt optimization techniques.
  • At least 3 years of professional Python and SQL development.
  • Experience deploying software to production and working with CI/CD, Git, Docker, and development, QA, and production environments.
  • Ability to learn independently.
  • Strong interpersonal communication and presentation skills.
  • Critical thinking and analytical problem-solving ability.

Будет плюсом

  • Hands-on experience with AI productivity tools.
  • Experience with Spark, Elasticsearch, Kafka, Redis, or vLLM.
  • Relevant master's degree.

Соответствие

Больше возможностей

Похожие вакансии

Новые вакансии в категории «Data Science».

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.