обновлено 13 дней назад
Senior Full Stack AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full Stack AI Engineer (AI/Cloud/MLOps): Designing and deploying secure enterprise AI and Generative AI systems across Azure/AWS and on-premise environments with an accent on deep learning, APIs, data pipelines, and production infrastructure. Focus on building scalable model-serving platforms, optimizing inference and cloud costs, and establishing reliable MLOps for regulated banking and financial-services environments.
Location: Abu Dhabi, United Arab Emirates. Workplace: On-site
Company
is an AI and data consultancy delivering tailored intelligent systems for enterprise clients, with a focus on financial services and banking.
What you will do
- Architect secure end-to-end AI and Generative AI systems for public cloud and on-premise environments.
- Design and optimize high-throughput APIs for AI models and agentic workflows.
- Implement deep learning solutions across NLP and computer vision using transformer architectures, PyTorch, and TensorFlow.
- Build retrieval systems with embedding models and enterprise vector databases.
- Containerize, scale, monitor, and deploy AI services with Docker, Kubernetes, and MLOps pipelines.
- Optimize data processing, model inference, token usage, cloud compute, and production costs while communicating technical decisions to senior stakeholders.
Requirements
- Extensive experience launching and managing containerized AI/ML or data-intensive applications in regulated enterprise environments.
- Strong experience with Docker, Kubernetes, Azure or another major cloud, and on-premise architecture, security, and networking.
- Expertise in deep learning for NLP and computer vision, including transformers, embeddings, PyTorch, and TensorFlow.
- Strong proficiency in Python, advanced data processing, SQL, NoSQL, vector databases, Big Data tools, and API gateway design.
- Experience with production model monitoring, MLOps, cloud infrastructure, and token or inference cost optimization.
Nice to have
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
- Banking experience involving data residency, financial compliance, and legacy core banking systems.
- Experience with LangChain, LlamaIndex, AutoGen, Azure AI Studio, or Kubeflow.
Culture & Benefits
- Personal health insurance.
- Visa sponsorship is available for the successful candidate.
- Professional development, certification support, and role-related subscription reimbursement.
- Opportunity to work on advanced AI projects for enterprise and financial-services clients.
- Monthly employee incentive program and career advancement opportunities.
- Inclusive and accessible application and interview process with reasonable adjustments available.
Hiring process
- The application and interview process is designed to be accessible, predictable, and fair.
- Reasonable adjustments can be requested during the application or interview process.
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