Senior Consultant AI Engineer / AI Specialist Forensics

Full Description

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, Large Language Models (LLMs), data modeling, 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 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 modeling.

• 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 a 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 modeling, 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.

Work Conditions:

On-site, Full-time

Location:

Dubai, Dubai, United Arab Emirates