3 days ago
Remote, MexicoMid Level
Responsibilities
- Design, develop, and deploy scalable AI/ML models for cost engineering.
- Build and maintain end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment.
- Implement model monitoring, retraining, and production performance optimization.
- Develop production-ready LLM-powered applications, including copilots, chatbots, and knowledge assistants.
- Build LLM-based solutions using enterprise data sources, RAG architectures, vector databases, and multi-agent orchestration.
- Interpret client needs, identify problems, generate solutions, and collaborate with customers and teams.
Requirements
- Experience or capability in generative AI and LLM application development.
- Ability to design, develop, and deploy production-ready AI/ML solutions.
- Knowledge of end-to-end ML pipelines, model monitoring, retraining, and performance optimization.
- Knowledge of RAG architectures, vector databases, and multi-agent orchestration.
- Ability to work independently with minimal supervision and provide guidance and support to others.
- Focus or experience in mechanical and physical engineering is relevant to the role.
Benefits
- Remote role with flexibility in how, when, and where work is performed.
- Flexible arrangements are developed in partnership with managers to support work-life balance.
- Opportunities to deepen technical knowledge and learn new skills while working.
- Inclusive and diverse work environment with applications considered on merit.
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.