Data Scientist AI - 36 Months Contract
Role Overview
Data Scientist AI role focused on machine learning and generative AI solutions for complex business challenges.
The role covers taking AI ideas from concept to scalable, secure, production-ready products.
The source title specifies a 36-month contract.
Key Skills for This Role
Full Job Posting
Role overview
Data Scientist AI role focused on machine learning and generative AI solutions for complex business challenges.
The role covers taking AI ideas from concept to scalable, secure, production-ready products.
The source title specifies a 36-month contract.
Accountabilities
- Design, develop, deploy, and monitor machine learning and AI solutions for business-critical challenges.
- Translate business requirements into AI use cases, success measures, and evaluation criteria.
- Analyze complex datasets to generate insights, predictive models, and decision-support solutions.
- Build LLM-powered, retrieval-augmented, and agentic AI applications.
- Design document intelligence, search, and information retrieval solutions.
- Establish evaluation, monitoring, observability, and governance controls.
- Collaborate with engineering teams on secure, scalable, production-ready AI applications.
- Lead discovery workshops and stakeholder engagements to prioritize AI opportunities.
- Present findings, recommendations, and model outcomes to stakeholders and executives.
- Promote machine learning, AI engineering, responsible AI, and data governance best practices.
Education and experience
- Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related discipline.
- 5+ years of experience in data science, machine learning, or AI, including 2+ years delivering production-grade generative AI.
- Strong Python skills and hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
- Experience building and deploying LLM, RAG, and agentic AI solutions with relevant platforms or frameworks.
- Understanding of machine learning, statistical modelling, predictive analytics, and AI evaluation practices.
- Experience deploying AI solutions in Azure, AWS, or GCP with knowledge of APIs, CI/CD, and containerization.
- Experience integrating AI solutions with enterprise systems and business processes.
- Strong communication, stakeholder management, problem-solving, and independent working skills.
About Etihad Airways
Etihad Airways describes itself as the UAE's national airline, connecting people across continents from Abu Dhabi.
The company highlights its Journey 2030 ambition to expand its fleet, network, and workforce.
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