AI Engineering Manager Global Fintech

Client of Reqiva; Dubai; On-site; USD 120,000 - 180,000; Full time

Job summary

A leading AI-first organization in the fintech sector is seeking an exceptional AI Engineering Manager to lead their AI innovation function. This hands-on leadership role combines technical expertise with strategic oversight, focusing on developing advanced AI/ML models and managing a high-performance engineering team. The ideal candidate will have extensive experience in AI technologies and a strong leadership background.

Benefits

Competitive salary based on experience

Annual performance-based bonus

Comprehensive private healthcare and life insurance

Generous annual leave and parental leave

Paid training and certification support

Qualifications

• 7+ years of technical experience in AI/ML, with at least 3 years leading engineering teams.
• Expert-level proficiency in Python and strong experience with TensorFlow, PyTorch, and scikit-learn.
• Recognised contributions to AI projects or research.

Responsibilities

• Lead the development of advanced AI/ML models and architect state-of-the-art NLP systems.
• Own and drive the AI technology roadmap in alignment with company strategy.
• Build and lead a high-performance AI engineering team.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Reinforcement Learning

Generative AI

Transformer Models

MLOps

Big Data Tools

Education

Bachelor's or Master's in Computer Science

Job description

AI Engineering Manager Global Fintech

We re working with a leading AI-first organisation in the fintech sector that is transforming the trading space through next-generation technology. As part of their continued growth and commitment to embedding AI across the business, they re now looking for an exceptional AI Engineering Manager to lead and scale their AI innovation function.

This is a hands-on leadership role that blends deep technical expertise with strategic oversight and people management. If you re passionate about pushing the boundaries of AI and want to help shape cutting-edge solutions in real-world environments, this could be the role for you.

Key Responsibilities

Technical Leadership & Development

• Lead the development of advanced AI/ML models, including deep learning, reinforcement learning, and graph neural networks
• Architect state-of-the-art NLP systems using libraries such as Hugging Face Transformers and spaCy
• Implement and optimise vector search solutions using platforms like Weaviate, Pinecone, or Milvus
• Contribute to the design of autonomous and multi-agent systems
• Work with generative AI models (e.g., GPT, DALL-E, GANs)
• Apply advanced transformer models (e.g., BERT, T5, ViT) for NLP and computer vision problems

Strategic & Technical Management

• Own and drive the AI technology roadmap in alignment with company strategy
• Collaborate with cross-functional teams to integrate AI into multiple business areas
• Lead architectural decisions for scalable, cloud-based AI systems
• Oversee multiple AI initiatives and balance resources accordingly

Team & People Leadership

• Build and lead a high-performance AI engineering team
• Mentor and develop engineering talent across all levels
• Support recruitment and contribute to a culture of innovation and continuous learning

Ideal Candidate
Technical Expertise

• Expert-level proficiency in Python, and strong experience with TensorFlow, PyTorch, and scikit-learn
• Hands-on with vector databases and similarity search systems
• Practical knowledge in reinforcement learning, generative AI, and transformer models
• Experience with MLOps, big data tools (Spark, Kafka, Hadoop), and cloud/edge computing environments

Leadership Background

• 7+ years of technical experience in AI/ML, with at least 3 years leading engineering teams
• Track record of delivering enterprise-grade AI solutions
• Comfortable in Agile environments with strong communication and stakeholder management skills
• Able to balance technical depth with commercial priorities

Qualifications

• Bachelor s or Master s in Computer Science, Engineering, or a related discipline
• Recognised contributions to AI projects or research (e.g., publications or open-source work)

What s on Offer

• Competitive salary based on experience and market benchmarks
• Annual performance-based bonus
• Comprehensive private healthcare and life insurance
• Generous annual leave and parental leave
• Paid training, certification, and ongoing professional development support

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