обновлено 23 дня назад
Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (Azure/Databricks): Building scalable data pipelines, AI agents, RAG systems, and data services for enterprise-grade intelligent solutions with an accent on Azure, OpenAI, LangChain, and modern data architectures. Focus on designing vector and knowledge graph integrations, optimizing ML workflows, and supporting reliable MLOps, CI/CD, and containerized deployments.
Location: Abu Dhabi, United Arab Emirates
Company
Inception42, a company, develops AI-powered domain-specific and industry-agnostic products for practical deployment across industries and large-scale initiatives.
What you will do
- Develop and deploy AI agents using Azure Agent Foundry, OpenAI, LangChain, and N8N.
- Build RAG pipelines, embeddings, vector database integrations, and knowledge graph solutions.
- Design and maintain scalable data pipelines, ETL/ELT workflows, and data architectures.
- Build APIs and data services supporting AI and analytics workloads, and optimize ML workflows on Azure Databricks and Azure Fabric.
- Ensure data quality, reliability, governance, and compliance across systems.
- Collaborate with data scientists, ML engineers, and product teams while supporting MLOps and DevOps processes.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in Data Engineering, AI Engineering, or ML Engineering.
- Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks.
- Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, vector databases, Azure Databricks, and Azure cloud services.
- Knowledge of big data tools, modern SQL and NoSQL storage, data modeling, ETL, and data quality practices.
- Experience with REST or GraphQL APIs, Kafka or RabbitMQ, Docker, Kubernetes, and cross-functional collaboration.
Culture & Benefits
- Open, diverse, and inclusive environment with a global vision.
- Structured training programs and opportunities for learning, development, and career growth.
- Work on high-tech projects and industry-focused AI innovations.
- Competitive remuneration package with healthcare, education support, leave benefits, and additional perks.
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