Opportunity Description
Shape the future of technology as an AI Systems Engineer with Capgemini, focusing on machine learning and data integration in a dynamic, supportive team. Drive innovation in AI solutions for global enterprises.
As an AI Systems Engineer, you'll play a key role in building resilient data pipelines and designing distributed AI systems. Your skills in Python and data modeling will be pivotal in developing secure production environments. Capgemini values collaboration, enabling you to use your problem-solving abilities to tackle complex challenges in technology.
Key Responsibilities: • Develop and maintain scalable data ingestion and transformation pipelines • Design AI architecture standards throughout the organization • Implement CI/CD for efficient model deployment and monitoring • Create and optimize LLM applications and RAG pipelines • Ensure high standards of code quality and system observability
Requirements: • 5 years in AI, software, or data engineering ...
As an AI Systems Engineer, you'll play a key role in building resilient data pipelines and designing distributed AI systems. Your skills in Python and data modeling will be pivotal in developing secure production environments. Capgemini values collaboration, enabling you to use your problem-solving abilities to tackle complex challenges in technology.
Key Responsibilities: • Develop and maintain scalable data ingestion and transformation pipelines • Design AI architecture standards throughout the organization • Implement CI/CD for efficient model deployment and monitoring • Create and optimize LLM applications and RAG pipelines • Ensure high standards of code quality and system observability
Requirements: • 5 years in AI, software, or data engineering ...
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