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