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Вакансия опубликована 49 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 production-ready intelligent workflows that transform structured and unstructured data into business-ready outputs with an accent on LLM orchestration, RAG architectures, and scalable data engineering. Focus on building customer-facing AI solutions, optimizing relational and vector databases, and generating reliable Excel, PDF, and Word deliverables.
Location: Nairobi, Kenya; on-site
Company
ERM is a global sustainability consultancy delivering environmental, health, safety, risk, and social solutions for organizations worldwide.
What you will do
- Design and implement AI-powered pipelines for extracting, cleaning, enriching, and transforming structured and unstructured data.
- Orchestrate large language models to automate data manipulation, validation, and cross-referencing.
- Generate customer-ready Excel, PDF, Word, and other business documents programmatically.
- Prototype AI tools and convert proofs of concept into scalable production solutions.
- Build and integrate full-stack applications connecting AI backends with modern web interfaces.
- Design and optimize relational and vector databases for AI workflows at scale.
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 such as OpenAI, Anthropic, Mistral, or open-source equivalents.
- Strong knowledge of embeddings, vector search, semantic similarity, RAG architectures, Python, SQL, and relational data modeling.
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks, plus FastAPI, .NET, or Node.js API development.
- Experience generating and manipulating Excel, PDF, and Word documents programmatically.
Nice to have
- Frontend development experience with Vue 3 Composition API and TypeScript.
- Experience with vector databases, containerization, cloud platforms, or serverless architectures.
- Background in NLP, document intelligence, or data enrichment pipelines.
- Exposure to monorepo tooling such as Turborepo or Nx.
- Knowledge of EHS software, methodologies, and domains.
Culture & Benefits
- Work with sustainability, technology, and environmental management information solutions.
- Collaborate with diverse professionals across geographies.
- Flexible working environment and competitive salary.
- Inclusive workplace focused on employee safety, well-being, development, and belonging.
Hiring process
- Submit a resume and brief cover letter.
- This requisition is not an active hiring opportunity; resumes are being collected for future project requirements and talent pipeline development.
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