AI/ML Technical Architect

شرح موقعیت

Role - Senior AI/ML Technical Architect – Generative AI & Agentic Systems Location : Abu Dhabi Budget:30-35k 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