Senior Consultant AI Engineer Forensics

About EY-Parthenon; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A global consulting firm is seeking a Senior Consultant - AI Engineer based in Dubai. The ideal candidate will have extensive experience in AI engineering and machine learning, specializing in AI-driven solutions and data modelling. Responsibilities include designing AI agents, integrating data pipelines, and collaborating with teams to create impactful analytics solutions. A strong background in procurement analytics is preferred, along with excellent problem-solving abilities and communication skills.

Qualifications

• 35 years of hands-on experience in machine learning, NLP or AI engineering.
• Strong experience creating AI agents using frameworks like LangChain, LlamaIndex.
• Experience working with LLMs (OpenAI, Meta, etc.).
• Familiarity with AI/ML Ops versioning and deployment pipelines is a plus.

Responsibilities

• Design, build and deploy AI agents for automation and decision support.
• Build robust data models to support machine learning workflows.
• Clean, transform and integrate data from ERP systems.
• Collaborate with internal and client teams to design data-driven solutions.

Skills

AI agents

data modelling

Exploratory Data Analysis (EDA)

procurement analytics

Python

SQL

Education

Bachelors or Masters degree in Computer Science, Data Science, AI/ML or related field

Tools

PyTorch

TensorFlow

Scikit-learn

LangChain

LlamaIndex

Job description

Overview

Senior Consultant - AI Engineer / AI Specialist - Forensics

Location: Dubai UAE
Department: Forensic & Integrity Services
Experience Required: 35 Years

About the Role
We are seeking a highly skilled AI Engineer with 35 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.

Responsibilities

• 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).
• Consulting & Engagement Support
  • 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.

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, Data Science, AI/ML or related field.
• 35 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.
• Soft Skills – Strong analytical and problem-solving abilities; excellent communication and collaboration; detail-oriented with a passion for clean, well-structured data; ability to work independently and take ownership of AI-driven initiatives.

Required Experience: Senior IC