Artificial Intelligence Specialist

3 days ago


Islamabad, Islamabad, Pakistan Corporate Research and Investigations Full time 900,000 - 1,200,000 per year

Since 1990, Corporate Research and Investigation Limited "CRI Group" has safeguarded businesses from fraud and corruption, providing integrity due diligence, employment background screening, third-party risk management and compliance and other professional investigative research services. CRI Group is a global firm with experts and resources located in key regional marketplaces across Asia Pacific, South Asia, the Middle East, North Africa, Europe and North America. The international nature of business today dictates an increasing demand for proactive measures designed to reduce the exposure of organizations to economic crime and civil wrongs, particularly in the financial, government and multinational business sectors.

The Investigative Analyst conducts various analyses and investigative research services, including but not limited to public record research. The Investigative Analyst will complete all-source research, gather pertinent data, review intelligence gaps, prepare records and files, and complete associated investigations and reporting requirements.

Role Overview

The
AI & NLP Lead
will spearhead the design, development, and deployment of advanced AI and Natural Language Processing (NLP) capabilities for CRI Group's digital platforms, particularly
EmploySmart RiskSentinel
. This role demands a visionary technologist with hands-on expertise in NLP, machine learning, and applied AI, with the ability to integrate risk intelligence, social media screening, sanctions monitoring, and compliance analytics into scalable, production-ready solutions.

Key Responsibilities

  • Leadership & Strategy
  • Define the AI/NLP roadmap aligned with CRI Group's compliance, risk, and investigative intelligence platforms.
  • Mentor and lead junior data scientists, ML engineers, and developers in applied AI projects.
  • Solution Development
  • Architect and implement
    NLP pipelines
    for multilingual text mining, sentiment analysis, entity resolution, topic modeling, and risk classification.
  • Develop AI-powered modules for
    ESG risk, compliance violations, misconduct detection, and reputational alerts
    .
  • Ensure integration of AI models with
    existing portals
    (EmploySmart, RiskSentinel, IntegrityCheck360, RiskGuard360).
  • Data & Integration
  • Work with APIs for
    social media feeds, news data, and global sanctions lists
    .
  • Design entity-linking systems to match individuals/companies across diverse datasets.
  • Collaborate with backend developers to ensure scalable and secure model deployment.
  • Innovation & Research
  • Evaluate and implement state-of-the-art LLMs, transformers, and generative AI for compliance applications.
  • Stay current on global AI/NLP trends in
    compliance, fraud detection, and background screening
    .
  • Governance & Compliance
  • Ensure AI-driven processes comply with
    data privacy laws (GDPR, PDPL, DIFC, etc.)
    .
  • Draft explainability frameworks for
    AI ethics and transparency in decision-making
    .

Qualifications

  • Master's in
    Computer Science, AI, Machine Learning, Computational Linguistics, or related field
    .
  • 7+ years of applied experience in
    NLP and AI model development
    , with proven leadership in productized solutions.
  • Hands-on expertise with
    Python (TensorFlow, PyTorch, spaCy, HuggingFace Transformers, NLTK)
    .
  • Experience with
    multilingual text processing
    (Arabic, English, Urdu, etc.).
  • Strong knowledge of
    cloud platforms (Azure, AWS, GCP)
    and deployment frameworks (FastAPI, Docker, Kubernetes).
  • Background in
    compliance, AML, fraud risk, or corporate investigations
    is a strong plus.

Key Skills

  • Deep understanding of
    entity recognition, relationship extraction, and sentiment analysis
    .
  • Ability to build
    risk-scoring algorithms
    blending AI automation with human analyst validation.
  • Strong
    project management and leadership skills
    .
  • Excellent communication skills to liaise between technical teams and business stakeholders.


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