Dassault Systems QA Artificial Intelligence (AI) Testing Engineer

About Company

Dassault Systèmes is a French multinational software company known for developing advanced 3D design, simulation, and product lifecycle management (PLM) solutions. It was founded in 1981 and is headquartered in Vélizy-Villacoublay, France. The company originally grew out of Dassault Aviation, where engineers needed better tools to design complex aircraft, which led to the creation of its first major software, CATIA.

Role Overview

Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering as a QA AI Testing Engineer in Pune, Maharashtra.

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Roles & Responsibilities

• Develop and maintain frameworks to test AI applications, with a focus on AI/ML models.
• Ensure reliability, safety, and performance of AI-driven applications, specifically those utilizing Large Language Models (LLMs).
• Design and implement tests for AI-powered applications, ensuring functionality, accuracy, and performance.
• Synthetics data generation using LLM/ Prompt Engineering for Data Generation
• Utilize frameworks like Pytest to ensure thorough and automated testing. Or identifying right framework for test,
• Collaborate with cross-functional teams to understand AI/ML models and apply appropriate testing techniques.
• Work with Python to build and integrate test solutions for AI-related features.
• Stay updated with emerging RAG (Retrieval-Augmented Generation) models, LLM-as-a-judge and best practices for AI testing.

Skills

• You will be developing AI test frameworks to automate the process of testing applications/software.
• Python (Must Have for AI/ML workflows)
• Good understanding of AI/LLM concepts (Deep understanding of Generative AI, RAG architectures, prompt engineering, and vector databases.)
• Evaluation Frameworks: Hands-on experience with tools like Ragas, DeepEval, Promptflow, LangSmith, or Gantry
• Statistical Thinking: Ability to apply scoring rubrics and understand variance, distributions, and confidence intervals in probabilistic outputs (Good to have)
• Basic JavaScript (Good to have)

Qualifications

• Engineering with 60% through out in all academics.
• 0-1 Years Experience in QA Testing and AI
• You ideally justify a first experience in Python development skills.
• You have a pronounced taste for software quality and the proper functioning of AI based applications with advanced skills in Test Design and Coverage.
• Experience working with CI/CD tools Jenkins, SVN, Git Lab.
• Good to have experience with API, Database Test /UI automation.
• Your curiosity, your rigor, your pro-activity as well as your interpersonal skills will be essential to succeed in this position.
• You are fluent in written and spoken English.

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