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DASSAULT SYSTEMES is seeking an AI / Machine Learning Engineer to join our R&D organization. This individual will contribute to the design, development, and continuous improvement of generative AI applications, services, and software solutions. The ideal candidate combines strong software engineering fundamentals with practical experience applying AI and machine learning technologies in production environments.
Design, develop, and maintain Generative AI applications using LLM and machine learning technologies
Collaborate with product management, architects, and engineering teams to deliver innovative AI solutions that address user and business needs
Develop, deploy and integrate machine learning models, agentic AI workflows and Retrieval augmented generation systems
Conduct prototypes and proof-of-concept initiatives to evaluate new technologies and approaches
Develop high-quality, maintainable code while participating in code reviews and continuous improvement efforts
Analyze application performance, user feedback, and usage metrics to identify opportunities for optimization and enhancement
Troubleshoot technical issues, perform root cause analysis, and contribute to software quality and operational excellence
B.S. or M.S. degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, or a related technical field
4+ years of experience in machine learning, artificial intelligence, or software engineering, with at least 2 years focused on Generative AI solutions
Strong proficiency in python and experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn
Hands-on experience developing applications powered by Large Language Models (LLMs)
Experience implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and vector databases
Strong understanding of prompt engineering, prompt optimization, model evaluation, and AI agent design patterns
Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or equivalent platforms
Knowledge of machine learning fundamentals, deep learning architectures, NLP techniques, embeddings, fine-tuning, and model optimization.
Experience building and deploying production-quality software applications and services
Strong analytical, problem-solving, and debugging skills
Demonstrated ability to learn and apply new technologies quickly
Familiarity with CI/CD pipelines, containerization, and modern software engineering practices
Experience working in Agile software development environments
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