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.
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Key Responsibilities:
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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.
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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.
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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.
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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.
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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
