remote
AI/ML Engineer - Dassault Systemes
ML Engineer
Lead the design, development, and deployment of AI‑powered solutions using Machine Learning, Generative AI, and Agentic AI. Build scalable, secure systems with LLMs, RAG, and intelligent automation, collaborating closely with architects, data scientists, and stakeholders.
About the role
Key Responsibilities
- Design, develop, and deploy AI/ML, Generative AI, and Agentic solutions for diverse business use cases.
- Build and maintain robust data pipelines and data engineering workflows to support model training and inference.
- Implement and integrate Large Language Models, Retrieval‑Augmented Generation, and AI Agents into production applications.
- Collaborate with architects, data scientists, and business stakeholders to translate requirements into scalable, secure AI systems.
- Oversee model development, evaluation, deployment, and continuous monitoring to ensure performance and compliance.
Requirements
- Strong proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on experience with Generative AI, Agentic AI, LLMs, and RAG pipelines.
- Solid background in data engineering, including pipeline design, data ingestion, and feature engineering.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work collaboratively in cross‑functional teams.
Skills
pythonmachine learninggenerative ai