Senior Consultant AI Engineer AI Specialist Forensics

Job Description

About The Role

AI Engineer

Experience

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.

Job Details

About The Company

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