AI Engineer

🔥 1 hour ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Design, develop, and deploy scalable AI/ML models for cost engineering • Build and maintain end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, and deployment • Implement model monitoring, retraining, and performance optimization in production environments • Develop production-grade AI systems for intelligent cost estimation, optimization, analysis, and decision support • Build LLM-powered applications and AI-assisted workflows integrated into enterprise platforms • Develop LLM-based solutions using enterprise data sources • Implement RAG architectures, vector databases, and multi-agent orchestration • Interpret client needs and generate solutions • Work independently or with minimal supervision • Contribute to teamwork and interact with customers • Share expertise and provide guidance and support to others

🎯 Requirements

• Focus on Mechanical and Physical Engineering • Develops competency in own area of expertise • Ability to design, develop, and deploy scalable AI/ML models for cost engineering • Experience building and maintaining end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, and deployment • Ability to implement model monitoring, retraining, and performance optimization in production environments • Ability to design, develop, and deploy production-ready LLM-powered applications such as copilots, chatbots, and knowledge assistants • Experience developing and implementing LLM-based solutions using enterprise data sources • Experience implementing RAG architectures, vector databases, and multi-agent orchestration • Experienced Professionals level

🏖️ Benefits

• Flexible work arrangements to support work-life balance • Opportunities to deepen knowledge and learn new skills while working • Diverse and inclusive work environment