AI/ML Engineer
AI/ML Engineer
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Role Description & Responsibilities
- AI Solution Development
- 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.
- Data & AI Engineering
- 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.
- Platform & Operations
- 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.
- Collaboration & Innovation
- 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.
- Required Skills
- Python and software development fundamentals
- Machine Learning, NLP, and data analytics concepts
- LLMs, Prompt Engineering, RAG, and AI Agent frameworks
- LangChain, LangGraph, LlamaIndex, or similar frameworks
- SQL, APIs, and data integration
- Docker, Git, CI/CD fundamentals
- AWS, Azure, or GCP exposure
Qualifications
- 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
What's in It for You
- Work on one of the most technically exciting frontiers in enterprise software — building AI agents and Virtual Companions that operate within the product engineering workflows
- Work at the intersection of deep PLM domain expertise and AI-augmented engineering; a rare combination that will define the highest-value development of the decade.
- Contribute to products used by global industry leaders across 12 sectors, directly influencing how major manufacturers design and build the products we all use.
- Grow in an environment that values engineering craft, domain curiosity, and AI fluency equally; not just raw coding.
- Collaborate with engineering colleagues across the globe as part of a world-class PLM organization.
- Be part of a team actively shaping how AI is integrated into enterprise product engineering - from the inside.
Inclusion statement
다쏘시스템은 인류의 발전을 위한 촉매제 역할을 합니다. 우리는 기업과 개인에게 지속 가능한 혁신을 상상할 수 있는 협업용 가상 환경을 제공합니다. 3DEXPERIENCE 플랫폼과 애플리케이션을 통해 현실 세계의 버추얼 트윈 경험을 창출함으로써, 150여 개국의 모든 산업 분야에서 35만 명 이상의 고객에게 가치를 제공합니다. 2만 3,800여명의 열정적인 임직원이 함께하는 글로벌 커뮤니티에 참여하세요!
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