Experience:

• 6 to 7 years
• 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics
• 3+ years of hands-on experience in AI/ML and/or Generative AI solutions

Qualification:

• 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics
• 3+ years of hands-on experience in AI/ML and/or Generative AI solutions

Responsibilities:

• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks
• Support model development, evaluation, deployment, and monitoring activities
• Build and maintain data pipelines, embeddings pipelines, and vector databases
• Prepare, transform, and validate data for AI/ML workloads
• Integrate AI services with enterprise applications and APIs
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization
• Develop reusable components, prompts, workflows, and AI accelerators
• Contribute to AI platform enhancements and automation initiatives
• Work with cross-functional teams to define requirements and deliver AI solutions
• Evaluate emerging AI technologies, models, and frameworks
• Follow AI governance, security, and Responsible AI guidelines

More skills:

Data analytics, Docker, Git, CI/CD fundamentals, AWS, Azure, GCP

Other:

• Work on building AI agents and Virtual Companions within product engineering workflows
• Work at the intersection of deep PLM domain expertise and AI-augmented engineering
• Contribute to products used by global industry leaders across 12 sectors
• Grow in an environment valuing engineering craft, domain curiosity, and AI fluency
• Collaborate with engineering colleagues globally as part of a world-class PLM organization
• Be part of a team shaping AI integration into enterprise product engineering
• Dassault Systèmes promotes inclusion and diversity and fosters a harmonized Workforce of the Future