In Financial Accounting & Advisory Services (FAAS) within Assurance, we assist our clients in addressing the accounting and financial reporting challenges facing their business. You will be part of a team that provides insights and services that accelerate analytics, decision-making, and innovation to build a stronger and more efficient finance function.
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This opportunity is within our Data & AI team and provides advisory services focused on AI Engineering and Generative AI (GenAI). As an AI Engineering professional, you will help businesses unlock value by designing, building, and operationalizing scalable AI solutions using modern MLOps pipelines and cloud-native technologies. Key responsibilities include integrating large language models (LLMs), automating workflows with GenAI, and embedding AI capabilities into business processes.
You will manage projects alongside senior business leaders, enabling clients to define an AI-driven FAAS strategy that maximizes value from emerging technologies. You will help clients realize business value through AI use cases, ensure timely delivery complying with regulatory requirements, and support business development efforts.
Key Responsibilities:
- Manage projects and ensure alignment of AI-driven solutions with strategic goals.
- Lead initiatives related to AI use cases including LLMs and MLOps implementation.
- Collaborate with cross-functional teams for integrated service delivery.
- Monitor engagement team performance and stay updated on AI trends.
Qualifications:
- A bachelor's degree with approximately 3 to 4 years of related work experience.
- At least 2 years of experience in a global consulting firm.
- Practical experience in AI and ML development using Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP).
- Experience building and fine-tuning LLMs and designing MLOps pipelines.
- Domain knowledge in Government, Healthcare, Financial Services, Retail, or Telecom.
- Flexibility and willingness to travel on short notice.
Language Requirements:
- Proficiency in Arabic is preferable.
What We Offer:
- A competitive compensation package based on performance.
- Continuous learning and development opportunities.
- A diverse and inclusive culture that empowers individuals.
Location: Dubai, United Arab Emirates
Work Conditions: On-site, Full-time
