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9 дней назад

Principal AI / ML Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal AI / ML Engineer (AI): Architecting and deploying enterprise-grade machine learning models, deep learning pipelines, RAG systems, and LLM agent frameworks for high-stakes banking and enterprise transformations with an accent on secure cloud architecture, MLOps, and production scalability. Focus on leading AI engineering teams, advising C-suite stakeholders, designing zero-trust AI security, and building compliant multi-cloud systems across AWS and Azure.

Location: On-site in Abu Dhabi or Dubai, United Arab Emirates

Company

hirify.global is an AI and data consultancy building secure, scalable, and resilient intelligent systems for enterprise clients, with a focus on financial services and banking in the UAE.

What you will do

  • Architect, build, and deploy enterprise machine learning models, deep learning pipelines, RAG systems, and LLM agent frameworks on AWS and Azure.
  • Advise C-suite leaders, Chief AI Officers, and engineering leads on technical blueprints, evaluation frameworks, and delivery roadmaps.
  • Lead and mentor cross-functional teams of AI engineers, data scientists, and data engineers.
  • Translate complex business challenges into production-ready AI and Generative AI systems while managing stakeholder alignment.
  • Design zero-trust AI security, prompt-injection defenses, PII masking, and automated CI/CD pipelines aligned with regulatory and data-sovereignty requirements.

Requirements

  • Bachelor’s or Master’s degree in mathematics, theoretical physics, physics, computer science, or a related quantitative field.
  • 8+ years of experience in software engineering, machine learning, and AI platform development, including team leadership in technology or management consultancies.
  • Advanced knowledge of PyTorch, TensorFlow, Hugging Face, LangChain or LlamaIndex, vector databases, Docker, Kubernetes, AWS SageMaker, and Azure OpenAI.
  • Experience taking AI/ML systems from experimental notebooks into secure, high-concurrency production cloud environments.
  • Strong client communication, stakeholder management, empathy, and technical leadership skills.

Nice to have

  • Experience with LoRA, QLoRA, quantization, and serving open-weight LLMs using vLLM, Ollama, or TGI.
  • Experience designing concurrent multi-cloud AI architectures in regulated environments.
  • Background in financial services, banking, capital markets, or UAE and GCC regulatory frameworks.

Culture & Benefits

  • On-site work in the United Arab Emirates on cutting-edge enterprise AI projects.
  • Individual visa sponsorship and comprehensive Gold Level personal health insurance.
  • Professional development, certification support, and role-related subscription reimbursement.
  • Monthly employee incentive program and career advancement opportunities.
  • Inclusive environment focused on psychological safety, continuous learning, and technical excellence.

Hiring process

  • The application and interview process is designed to be accessible, predictable, and fair.
  • Reasonable adjustments are available during the application and interview process upon request.

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