Senior Consultant AI Engineer / AI Specialist Forensics

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

Job summary

A global professional services firm is seeking a Senior Consultant specializing in AI Engineering to deliver AI-driven solutions. The candidate should have 3-5 years of hands-on experience, particularly in AI agents and data modelling. Key responsibilities include building AI models and performing data analysis. The role is based in Dubai with competitive benefits including a hybrid work environment.

Qualifications

• 3-5 years of hands-on experience in machine learning, NLP, or AI engineering.
• Experience creating AI agents using frameworks like LangChain or similar.
• Strong skills in data modelling and SQL.

Responsibilities

• Design, build, and deploy AI agents for automation and decision support.
• Develop data models to support machine learning workflows.
• Clean, integrate, and transform data from various systems.

Skills

AI engineering

Data modelling

Machine learning

Natural Language Processing (NLP)

Exploratory Data Analysis (EDA)

Python

SQL

AI agents

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML

Tools

PyTorch

TensorFlow

Scikit-learn

SAP

Oracle

Job description

Senior Consultant - AI Engineer / AI Specialist - Forensics

Location: Dubai, UAE

Department: Forensic & Integrity Services

Experience Required: 3-5 Years

About the Role

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.

Key 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).

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

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

• 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.

Soft Skills

• 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.