In Financial Accounting & Advisory Services (FAAS) within Assurance, we assist our clients in addressing accounting and financial reporting challenges. You will be part of a team that provides insight and services that accelerate analytics, decision-making, and innovation, contributing to a more efficient finance function.
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This opportunity is within our Data & AI team and focuses on advisory services related to 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. You will work on integrating large language models (LLMs), automating workflows with GenAI, and embedding AI capabilities into business processes.
The Senior Consultant will collaborate with data scientists, engineers, and business leaders to ensure the AI-driven solutions align with strategic goals and deliver tangible business impact. You will manage projects alongside senior business leaders, help clients define AI-driven FAAS strategies, and ensure compliance with regulatory requirements. Your role will also involve monitoring engagement team performance and staying informed about emerging AI trends.
Location: Dubai, United Arab Emirates
Work Conditions: On-site, Full-time
Language Requirements: Proficiency in the Arabic language is preferred.
Key Responsibilities:
- Manage up to two projects in collaboration with senior leaders, addressing AI-driven FAAS strategies.
- Help clients realize business value through AI use cases and MLOps implementation.
- Ensure timely delivery and compliance with regulatory requirements.
- Collaborate with other service lines for integrated service delivery and perform budget monitoring.
- Evaluate innovative AI tools and support go-to-market efforts.
Qualifications:
- A bachelor's degree and 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 working with frameworks like LangChain, HuggingFace, or OpenAI APIs.
- Knowledge of GenAI use cases such as document summarization, chatbots, intelligent assistants, and code generation.
- Domain knowledge in sectors like Government, Healthcare, Financial Services, Retail, or Telecom.
Skills and Attributes for Success:
- Proactivity, accountability, and results-driven mindset.
- Ability to manage competing priorities and communicate effectively with technical and non-technical stakeholders.
- Flexibility and willingness to travel on short notice as necessary.
If you meet these qualifications and are eager to apply AI and GenAI to solve complex client problems, we would like to hear from you.
