Senior Consultant AI Engineer / AI Specialist Forensics

Location: Dubai, UAE

Department: Forensic & Integrity Services

Experience Required: 3-5 Years

We are seeking a highly skilled AI Engineer with 3-5 years of hands on experience in building AI driven solutions. The ideal candidate will have strong expertise in AI agents, LLMs, data modelling, exploratory data analysis, and data cleansing using AI based tools. Experience in procurement analytics or exposure to procurement datasets will be considered an advantage.

AI Development & Engineering

• Design, build, and deploy AI agents for automation, decision support, and workflow optimization.
• Fine tune, evaluate, and implement Large Language Models (LLMs) for business use cases.
• Develop intelligent pipelines and workflows to integrate AI models into existing systems.
• Use GenAI tools for document summarization, narrative generation, data exploration, and insight explanation.

Data Modelling & Analysis

• Build robust data models to support machine learning workflows and analytical insights.
• Perform Exploratory Data Analysis (EDA) to identify trends, anomalies, and model features.
• Design data schemas, transformation pipelines, and model ready datasets.

Data Engineering & Integration

• Clean, transform, and integrate data from ERP systems (e.g., SAP, Oracle), financial systems, transactional databases, and external sources.
• Design and implement data pipelines using SQL, Python, and relevant tools.
• Conduct data profiling, cleansing, and normalization to prepare datasets for analytics and modelling.
• Ensure data integrity, quality, lineage, and auditability across all project workstreams.

Procurement Analytics (Preferred)

• Work with procurement data such as spend data, supplier information, and sourcing KPIs.
• Build and support AI driven procurement analytics use cases (e.g., spend classification, supplier risk scoring, category insights).

Collaborate with category managers and procurement stakeholders to translate requirements into AI models.

• Collaborate with internal and client teams to gather requirements, understand challenges, and design data driven solutions.
• Support POCs, proposals, and solution demonstrations in areas related to AI and digital transformation.
• Contribute to the development of best practices, reusable assets, and thought leadership in analytics & AI.

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
• 3-5 years of hands on experience in machine learning, NLP, or AI engineering.
• Strong experience creating AI agents using frameworks like LangChain, LlamaIndex, or similar.
• Experience working with LLMs (OpenAI, Meta Llama, Anthropic, etc.).
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit learn).
• Strong skills in data modelling, SQL, and analytical problem solving.
• Experience performing EDA and working with large scale datasets.
• Familiarity with AI/ML Ops, versioning, and deployment pipelines is a plus.
• Experience with procurement related datasets is a strong plus.

• Strong analytical and problem solving skills.
• Excellent communication and ability to work cross functionally.
• Detail oriented with a passion for clean, well structured data.
• Ability to work independently and take ownership of AI driven initiatives.