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Вакансия опубликована 18 дн. назад - шансы на ответ снижаются.
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Описание вакансии
Текст:
TL;DR
AI Data Engineer Consultant (AI/Data Engineering): Designing AI-powered data pipelines and intelligent workflows that transform structured and unstructured data into business-ready outputs with an accent on LLM orchestration, RAG architectures, and production-grade data engineering. Focus on building scalable AI solutions, integrating full-stack applications, optimizing relational and vector databases, and generating customer-ready Excel, PDF, and Word documents.
Location: Mexico City, Mexico
Company
ERM is a global sustainability consultancy delivering environmental, health, safety, risk, and social solutions supported by technical and digital expertise.
What you will do
- Design and implement AI-powered pipelines for extracting, cleaning, enriching, and transforming structured and unstructured data.
- Orchestrate large language models for data manipulation, validation, and cross-referencing.
- Build scalable workflows using LLMs, automation, RAG architectures, and modern data engineering practices.
- Generate customer-ready Excel, PDF, Word, and other business documents programmatically.
- Prototype AI tools and convert proofs of concept into production-ready solutions.
- Integrate AI back ends with modern web interfaces and optimize relational and vector databases.
Requirements
- University degree in environmental sciences, information technology, computer science, engineering, management information systems, theoretical business, or a related technical field.
- 4–6 years of relevant experience in AI data engineering or an EHS-related field.
- Hands-on experience with large language models, including OpenAI, Anthropic, Mistral, or open-source equivalents.
- Strong understanding of embeddings, vector search, semantic similarity, and RAG architectures.
- Strong Python skills, including asynchronous patterns, data libraries, and AI SDKs; experience with LangChain, LlamaIndex, or similar frameworks.
- Experience with SQL, relational data modeling, APIs, FastAPI, .NET, Node.js, and programmatic document generation.
Nice to have
- Front-end development experience with Vue 3 Composition API and TypeScript.
- Experience with vector databases, AI-oriented storage patterns, containerization, cloud platforms, or serverless architectures.
- Background in NLP, document intelligence, data enrichment pipelines, monorepos, Turborepo, or Nx.
- Knowledge of EHS software and domains such as environmental compliance, industrial hygiene, occupational health, audit management, incident management, and risk assessment.
Culture & Benefits
- Flexible working environment and competitive salary.
- Collaborative work across geographies with an emphasis on accountability, client focus, safety, well-being, and professional development.
- Opportunity to contribute to sustainability, environmental management, and enterprise-scale digital transformation.
- Diverse, equitable, and inclusive working environment.
Hiring process
- Submit a resume and brief cover letter.
- This requisition is intended to build a talent pipeline for future project requirements and is not an active hiring opportunity.
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