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Job Description
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:
- Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.
- Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.
- Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.
- Translate research into applied solutions and lead PoC evaluations.
- Manage end-to-end delivery, UAT, and production rollout readiness.
- Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
- Python (Strong) and advanced RAG Workflow experience
- Hands-on with agentic workflows and scalable LLM integrations
Key Skills
Ranked by relevance
ai
machine learning
mlops
cicd
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- Posted
- Jan 02, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Abu Dhabi
- Company
- Nagarro
Industries
IT Services
IT Consulting
Categories
Engineering
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3 roles aligned with this opportunity
View Job Details
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Machine Learning Engineer
2026-06-16
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View Job Details
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Junior AI/ML Engineer
2026-06-16
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