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21976 - Data Scientist

Date:  18 Mar 2026
Company:  Qualitest Group
Country/Region:  IL

Qualitest is the world’s leading AI-powered Quality Engineering company. 

With 8,000+ experts worldwide and 1,500 in Israel, we partner with top global brands to deliver smarter, faster, and more reliable technology solutions. 

 

 

Ready to make an impact? We’re hiring a Data Scientist  

We are looking for a hands-on Machine Learning Engineer / Data Scientist to join our delivery team and build end-to-end AI solutions for enterprise clients.

The role focuses mainly on Classical Machine Learning and Data Science, with additional work on Generative AI solutions such as RAG pipelines and LLM-based systems.

The position includes designing, deploying, and integrating AI solutions across diverse client environments and participating in technical discussions and pre-sales activities.

 

 

Responsibilities:

 

  • Design and deploy end-to-end Machine Learning solutions, including data analysis, feature engineering, model development, and performance monitoring.
  • Apply classical ML algorithms and conduct statistical analysis on structured and unstructured data.
  • Develop Generative AI solutions, including RAG pipelines and LLM-based applications.
  • Integrate LLM APIs and vector databases and optimize GenAI system performance.
  • Deploy scalable solutions using Docker, cloud platforms (AWS/GCP/Azure), and Linux environments, in collaboration with DevOps teams.

 

 

Requirements:

 

  • 4+ years of experience in Machine Learning / Data Science, with hands-on experience delivering end-to-end ML solutions and working with cloud-based production environments.
  • B.Sc. or M.Sc. in Computer Science, Data Science, Statistics, Mathematics, or related field.
  • Proficiency in Python and common ML libraries.
  • Experience with RAG systems and LLM-based solutions.
  • Experience with Docker and cloud environments.
  • Strong Linux skills and experience working in client-facing environments.
  • Fluent English.

 

 

Why should you join us? 

 

  • Grow your career in a stable, innovative environment 

  • Collaborate closely with clients to deliver smart, high-quality solutions 

  • Make an impact in a dynamic, learning-driven environment 

  • Be part of a human, value-driven organization that cares 

 

 

Apply now »