AI Engineer Apprentice

Overview

WELCOME TO SITA

We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry.

You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting-edge tech to make their operations run like clockwork. Want to be a part of something big?

Are you ready to love your job? The adventure begins right here, with you, at SITA.

PURPOSE

As AI Engineer Apprentice, you will have the opportunity to learn from and assist the AI Product Technical Lead in various aspects of AI engineering, technical leadership, and product development. This apprenticeship offers an invaluable experience to develop your skills in AI engineering and contribute to the success of our AI products.

Key Responsibilities

• Collaborate with the AI Product Technical Lead to translate project requirements into scalable Python applications and tools.
• Develop, optimize, and maintain backend components, APIs, and scripts that support AI model integration and deployment.
• Implement data processing pipelines in Python, leveraging libraries such as Pandas, NumPy, and implement efficient CI/CD workflows.
• Support AI model development by building robust infrastructure for training, testing, and deploying machine learning models.
• Contribute to model evaluation processes by developing testing frameworks and ensuring performance and accuracy standards are met.
• Work closely with AI Engineers, Data Scientists, and Flight Operations Experts to integrate AI-driven features into production systems.
• Maintain clear documentation of codebases, processes, and project progress to support team collaboration.
• Actively participate in technical discussions, proposing innovative solutions and improvements for AI-related projects.
• Continuously develop skills in AI engineering practices and Python development, learning under the mentorship of the AI Product Technical Lead.
  
  
  

Qualifications

EDUCATION & QUALIFICATIONS

• Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Engineering, or a related field.
• Strong interest in AI and machine learning concepts.
• Proficiency in programming languages such as Python.
• Proficiency in Python and experience with libraries such as Pandas, NumPy, and scikit-learn.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent communication and teamwork skills.
• Detail-oriented with strong analytical and problem-solving abilities.
• Self-motivated and eager to learn and contribute to a dynamic team environment.
  
  
  

What We Offer

We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

🏡 Flex Week: Work from home up to 2 days/week (depending on your team's needs)

⏰ Flex Day: Make your workday suit your life and plans.

🌎 Flex-Location: Take up to 30 days a year to work from any location in the world.

🌿 Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.

🚀 Professional Development: Level up your skills with our training platforms, including LinkedIn Learning!

🙌 Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.