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Director - Data Science

Presight Abu Dhabi, United Arab Emirates Posted: 21 Mar 2025

Financial

  • Estimate: $150k - $200k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:
Presight is an ADX-listed public company, with Abu Dhabi-based G42 as its majority shareholder. It stands as the region’s leading big data analytics company powered by GenAI. The company connects big data, analytics, and AI expertise across all sectors to create significant business and societal impacts. Presight is dedicated to helping private and public sectors realize their AI strategies through its range of GenAI-driven products and solutions.

Position Overview:
Presight seeks a qualified Data Science Leader to drive business growth and operational efficiency by developing and delivering diverse data products, including recommendation engines, predictive models, business-logic automation, and machine learning solutions.

Key Responsibilities:

  • Lead and Mentor: Build and guide a high-performing team of data scientists and machine learning engineers.
  • AI Platform Development: Drive the development of the AI platform focusing on Agentic AI capabilities and LLM integration.
  • Agentic AI Expertise: Architect and implement solutions for autonomous systems.
  • LLM Integration: Oversee the integration of LLMs (e.g., GPT-4, Llama) for optimal performance.
  • Machine Learning Development: Lead the creation of conventional, deep learning, and reinforcement learning models.
  • AI Research and Innovation: Stay updated on AI advancements and implement practical solutions.
  • Product Development: Collaborate with product managers and engineers to define product requirements and develop features.
  • AI/ML Operations (MLOps): Optimize MLOps pipelines for efficient model management.
  • Strategic Planning: Align the AI platform's direction with business objectives.
  • Technical Leadership: Ensure adherence to best practices and maintain high code quality standards.
  • Compliance: Ensure adherence to QHSE, risk management, and governance policies.

Qualifications:

  • Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Experience: 12+ years in data science and machine learning, with 5+ years in leadership roles.
  • Skills:
    • Proven experience in developing and deploying AI systems in fast-paced environments.
    • Solid understanding of Agentic AI concepts and LLM applications.
    • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
    • Understanding of MLOps practices and tools (e.g., Kubeflow, MLflow).
    • Strong leadership, communication, and collaboration skills.
    • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Nice-to-Have:
    • Experience with AI hardware (e.g., GPUs, TPUs).
    • Publications in AI conferences or journals.
    • Familiarity with industry-specific AI applications (e.g., finance, healthcare).
    • Experience with AI model explainability and security.

What Working At Presight Offers:

  • Culture: An open, diverse, and inclusive environment encouraging personal growth and innovation.
  • Career: Opportunities for learning and growth through structured training programs and innovative projects.
  • Rewards: Competitive remuneration package including healthcare, education support, and leave benefits.

If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community at Presight.

Apply now

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About Presight

Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (“AI”). We combine big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With our world-class computer vision, AI and omni-analytics platform as its engine, we excel at all-source data interpretation to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.