Senior Data Scientist

Overview

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.

The Opportunity

We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI solutions. The ideal candidate will have extensive experience in designing, developing, and deploying Generative AI use cases both on-premises and on cloud platforms. This role requires proficiency in working with GPUs for scalable solutions, as well as expertise in Agentic AI, Generative AI, and related frameworks.

Responsibilities

• Design, develop, and deploy Generative AI models and solutions on both on-premises and cloud platforms.
• Lead end-to-end Generative AI projects, from ideation, finetuning, evaluation, to deployment.
• Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems and workflows.
• Continuously monitor and improve the performance of deployed models through rigorous testing and validation.
• Provide technical leadership and mentorship to junior data scientists and engineers.
• Stay up-to-date with the latest advancements in Generative AI and related technologies and apply them to solve complex business problems.
  
  

• Bachelors Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
• Master/PhD in Computer Science/ Machine learning or related field with more than 5 years of industry experience.
• Strong experience in Generative AI and data science, with a focus on developing and deploying models on both on-premises and cloud platforms.
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like AWS SageMaker, Azure ML, or Google AI Platform.
• Deep understanding of Generative AI algorithms, including GANs, VAEs, and transformers.
• Experience with GPU-based computing for scalable AI solutions.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
  
  

• Experience with Agentic AI and related frameworks.
• Knowledge of MLOps and CI/CD pipelines for machine learning model deployment.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with natural language processing (NLP) and computer vision.
• Knowledge of advanced statistical techniques and their applications.
• Experience with real-time data processing and streaming technologies.