Senior Consultant AI Engineer AI Specialist Forensics
Talentmate
United Arab Emirates
30th April 2026
2604-1998-14330
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.
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