# AI/ML Technical Architect — Anix Global

Canonical: https://jobxdubai.com/jobs/li-4482452572-ai-ml-technical-architect
Location: Abu Dhabi, UAE
Type: contract · Level: lead
Monthly salary: AED 30,000 to 30,000 per month (employer-stated) (UAE salaries are tax-free)
Posted: 2026-10-22
Apply: https://www.linkedin.com/jobs/view/ai-ml-technical-architect-at-anix-global-4482452572?_l=en

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## Description

Role - Senior AI/ML Technical Architect – Generative AI & Agentic Systems

Location : Abu Dhabi

Budget:30k AED

Experience: 10+

Notice: immediate to 1 month

Contract duration : 6months extendable to 2 years

Experience Requirements

• 8+ years of experience in software engineering, data, or AI systems

• 2+ years of hands-on experience with Generative AI and LLM-based solutions

• 4+ years of experience designing and architecting enterprise-scale platforms and distributed systems

Preferred Qualifications

• Master’s or PhD in Computer Science, AI, ML, or related field

• Contributions to open-source AI projects or research publications

• Experience with multi-modal and cross-modal systems

• Strong grounding in MLOps and full model lifecycle management

• Experience designing compliant and regulated AI systems

• Demonstrated leadership in enterprise AI transformation programs

• Cloud certifications (AWS, Azure, GCP – AI/ML focus)

Technical Competencies Assessed

• Distributed AI system architecture and design

• Production code quality, scalability, and performance optimization

• Model benchmarking, evaluation, and cost optimization

• Security, privacy, and AI governance engineering

• Enterprise-grade deployment and scaling strategies

Required Technical Skills

Core AI & GenAI

• Deep experience with GPT-4, Claude, LLaMA, and enterprise/open-source LLM ecosystems

• Expertise deploying and optimizing SLMs (Phi-3, Gemma, TinyLlama)

• Advanced agent frameworks: LangChain, LangGraph, Semantic Kernel, Agno

• RAG systems, vector databases, semantic and hybrid retrieval

Fine-Tuning & Model Optimization

• Parameter-efficient tuning: LoRA, QLoRA, DoRA, AdaLoRA

• Prompt-tuning, adapters, prefix tuning, P-tuning v2

• RLHF / RLAIF pipelines

• Compression techniques: quantization (INT8/INT4, GPTQ, AWQ, GGML), pruning, distillation

Deployment & Performance

• Multi-environment deployment (cloud, edge, on-prem)

• Autoscaling, rate-limiting, and resource governance

• Real-time inference, streaming pipelines, adaptive reasoning control

Engineering & Platforms

• TensorFlow, PyTorch, Hugging Face, LlamaIndex

• API-driven system design and full-stack AI service development

• AWS, Azure, GCP AI platforms

• CI/CD, Docker, Kubernetes, monitoring and observability

## Requirements

• 8+ years of experience in software engineering, data, or AI systems
• 2+ years of hands-on experience with Generative AI and LLM-based solutions
• 4+ years of experience designing and architecting enterprise-scale platforms and distributed systems

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