Junior AI Engineer / Data Scientist

Job Description

REQUIREMENTS

• 0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fields
• Hands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software development
• Exposure to real-world business applications of AI, machine learning, analytics, or automation is preferred
• Strong proficiency in Python and SQL (mandatory)
• Solid understanding of data analysis, statistics, and machine learning fundamentals
• Familiarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)
• Experience working with APIs, structured and unstructured data sources
• Understanding of LLMs, AI agents, prompt engineering, and API-based AI workflows
• Basic familiarity with cloud platforms (AWS preferred), including storage and compute services
• Understanding of data ingestion, ETL processes, and pipeline design
• Knowledge of data visualization and reporting tools is an advantage
• Strong analytical and problem-solving mindset
• Ability to translate ambiguous business requirements into practical solutions
• High attention to detail and commitment to data accuracy
• Pragmatic approach to building scalable and maintainable solutions
• Strong communication skills with both technical and non-technical stakeholders
• Curiosity, adaptability, and eagerness to learn emerging AI technologies

RESPONSIBILITIES

AI & Data Applications

• Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services
• Develop AI-powered tools and assistants that improve operational efficiency and guest experiences
• Support the design and deployment of conversational AI solutions across web and messaging platforms
• Collaborate with business teams to identify opportunities for AI-driven automation

Data Engineering & Pipelines

• Build, maintain, and optimize data pipelines for machine learning, analytics, and reporting
• Collect, clean, transform, and structure data from multiple internal and external sources
• Ensure data quality, consistency, and reliability across systems
• Support integration of APIs, cloud storage, and business platforms

Machine Learning & Model Evaluation

• Develop and test machine learning models for forecasting, personalization, and business optimization
• Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processes
• Assist in feature engineering, model tuning, and performance analysis
• Monitor deployed models and identify opportunities for continuous improvement

Business Problem Solving

• Work closely with stakeholders across reservations, marketing, revenue, and operations teams
• Translate business requirements into practical AI and data solutions
• Analyse complex datasets to uncover actionable insights and recommendations
• Support decision-making through data-driven analysis and reporting

Documentation & Continuous Improvement

• Write clean, maintainable, and reusable code following best practices
• Document technical processes, models, and system architectures
• Stay updated with emerging AI technologies, tools, and industry trends
• Contribute to the continuous improvement of data and AI capabilities across the organization

Are you interested in this position?

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