Director - Data Science

Abu Dhabi, ARE

Presight

We combine big data analytics and AI expertise to serve multiple sectors, of every scale, to enable lifelong human advancement

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Overview

 

Job Description: Director Data Science

 

Location: Abu Dhabi

 

About Presight

 

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

 

Position Overview

Are you a qualified and proficient Data Science Leader with the proven ability to drive business growth & operational efficiency? Presight needs your skills to develop and deliver diverse data products across the company—including, but not limited to, recommendation engines, predictive models, business-logic automation and machine learning.

Responsibilities

Key Responsibilities:

  • Lead and Mentor: Build, lead, and mentor a high-performing team of data scientists and machine learning engineers, fostering a collaborative and innovative environment.
  • AI Platform Development: Drive the development of our AI platform, focusing on Agentic AI capabilities, LLM integration, and advanced machine learning models.
  • Agentic AI Expertise: Architect and implement Agentic AI solutions, including planning, reasoning, and action execution, to create autonomous and intelligent systems.
  • LLM Integration: Oversee the integration of various LLMs (e.g., GPT-4, Llama, etc.) both on-premises and cloud, ensuring seamless deployment and optimal performance.
  • Machine Learning Development: Lead the development of conventional machine learning, deep learning, and reinforcement learning models for diverse applications.
  • AI Research and Innovation: Drive AI research initiatives, staying abreast of the latest advancements and translating them into practical solutions.
  • Product Development: Collaborate with product managers and engineers to define product requirements, develop AI-powered features, and ensure successful product launches.
  • AI/ML Operations (MLOps): Implement and optimize MLOps pipelines for efficient model development, deployment, and monitoring.
  • Strategic Planning: Contribute to the strategic direction of the AI platform, aligning with business objectives and market trends.
  • Technical Leadership: Provide technical guidance and expertise, ensuring the team adheres to best practices and maintains high standards of code quality and performance.
  • Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.

Qualifications

Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience:

  • 12+ years of experience in data science and machine learning, with at least 5+ years in a leadership role.

Skills:

  • Proven experience in building and deploying AI systems from scratch in fast-paced environments.
  • Strong expertise in Agentic AI concepts, Deep understanding of large language models (LLMs) and their application.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
  • Excellent leadership, communication, and collaboration skills.
  • Product acumen with the ability to work with product managers.
  • Understanding of cloud platforms (AWS, Azure, GCP).

Nice-to-Have:

  • Experience with specialized AI hardware (e.g., GPUs, TPUs).
  • Publications in top AI conferences or journals.
  • Experience with specific industry applications of AI (e.g., finance, healthcare, smart cities).
  • Experience with building tools for AI model explainability and fairness.
  • Experience with AI security and privacy.

 

Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.

 

What working at Presight offers:

 

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

 

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

 

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy AWS Azure Big Data Computer Science Data Analytics Deep Learning Docker Finance GCP Generative AI GPT GPT-4 Kubeflow Kubernetes LLaMA LLMs Machine Learning MLFlow ML models MLOps Pipelines Privacy PyTorch Reinforcement Learning Research Scikit-learn Security TensorFlow

Perks/benefits: Career development Conferences Health care Startup environment

Region: Middle East

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