Data Scientist AI - 36 Months Contract

Role overview

Accountabilities

• Design, develop, deploy, and monitor machine learning and AI solutions for business-critical challenges.
• Translate business requirements into data science and AI use cases with success measures and evaluation criteria.
• Analyze large and complex datasets to produce insights, predictive models, and decision-support solutions.
• Develop and optimize machine learning models through feature engineering, validation, testing, and performance tuning.
• Build and deploy LLM-powered, retrieval-augmented, and agentic AI applications.
• Design document intelligence, search, and information retrieval solutions using structured and unstructured enterprise data.
• Establish evaluation frameworks, monitoring, observability, and governance controls for AI solutions.
• Collaborate with engineering teams to deliver scalable, secure, production-ready AI applications.
• Lead discovery workshops, process assessments, and stakeholder engagements to prioritize AI opportunities.
• Communicate findings, recommendations, and model outcomes through storytelling, visualization, and executive presentations.
• Promote best practices in machine learning, AI engineering, responsible AI, and data governance.
• Stay current with developments in artificial intelligence, machine learning, generative AI, and advanced analytics.

Education and experience

• Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related discipline.
• At least five years of experience in Data Science, Machine Learning, or AI.
• At least two years of experience delivering production-grade Generative AI solutions.
• Strong Python skills with hands-on experience in Scikit-learn, TensorFlow, or PyTorch.
• Experience building and deploying LLM, RAG, and agentic AI solutions using relevant AI platforms or frameworks.
• Strong understanding of machine learning, statistical modelling, predictive analytics, and AI evaluation practices.
• Experience deploying AI solutions in Azure, AWS, or GCP cloud environments with knowledge of APIs, CI/CD, and containerization.
• Experience integrating AI solutions with enterprise systems and business processes.
• Strong communication, stakeholder management, and problem-solving skills, with the ability to work independently in a fast-paced environment.

About Etihad Airways

Contract and work arrangement

• The role is a 36-month contract.
• The source metadata identifies the workplace as onsite in Abu Dhabi.