NLP Engineer بدوام كامل في أبوظبي
التخصص
متفرقات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
أبوظبي
وصف الوظيفة
Role OverviewWe are looking for an NLP Engineer to lead the design, development, and deployment of production-grade NLP and Generative AI solutions. You will own complex AI initiatives end-to-end, drive technical architecture, and help shape our NLP/LLM engineering practices.Key ResponsibilitiesLead the design and development of scalable NLP and LLM-powered solutionsArchitect and optimize RAG pipelines, embeddings, vector search, and LLM applicationsFine-tune, evaluate, and optimize transformer-based models and LLMs for production useBuild robust data, training, inference, and model-evaluation pipelinesDrive improvements in model quality, latency, scalability, reliability, and costEstablish best practices for experimentation, evaluation, deployment, and monitoring of AI systemsTranslate complex business requirements into effective AI/ML solutionsCollaborate closely with ML engineers, software engineers, product teams, and stakeholdersMentor engineers and provide technical leadership across NLP/Generative AI initiativesStay current with emerging research, models, frameworks, and best practices in NLP and Generative AIRequirements5+ years of professional experience in NLP, Machine Learning, or Generative AIStrong Python programming and hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent frameworksDeep understanding of NLP, transformers, LLMs, embeddings, RAG, fine-tuning, and model evaluationProven experience taking AI/ML solutions from experimentation to productionStrong software engineering and system-design skills, including APIs, data pipelines, and scalable architecturesStrong analytical and problem-solving skills with the ability to independently drive technical initiativesPreferredExperience with PEFT/LoRA, quantization, inference optimization, or distributed model trainingExperience with vector databases, MLOps, cloud platforms, and AI evaluation/observability frameworksExperience building AI agents, multimodal systems, or other advanced Generative AI applicationsContributions to open-source projects, research, publications, or applied AI/ML innovation
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