AI/ML Technical Architect

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