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.
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
- 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 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.
Required Experience:
Senior IC
Senior Consultant - AI Engineer / AI Specialist - ForensicsLocation: Dubai UAEDepartment: Forensic & Integrity ServicesExperience Required: 35 YearsAbout the RoleWe are seeking a highly skilled AI Engineer with 35 years of hands-on experience in building AI-driven solutions. The ideal candidate will...
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.
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
- 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 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.
Required Experience:
Senior IC
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