Want to get hired at Booking Holdings (NASDAQ: BKNG)?

Associate Engineer - Intelligent Automation

Booking Holdings (NASDAQ: BKNG)

Bengaluru, Karnataka, IndiaOn Site

Original Job Summary

Overview

The Associate Engineer - Intelligent Automation at Booking Holdings is a dynamic role within our newly founded Center of Excellence (CoE). You will help meet increasing demand from the business, support our growing portfolio of automation, and make an impact across every business area at Booking.com.

Responsibilities

  • Improve efficiencies and accountability across projects.
  • Collaborate with cross-functional teams with a compassionate mindset.
  • Continuously improve work quality while solving real world problems through technology.

Qualifications & Skills

  • 3-5 years experience in automation including Python, RPA, and GenAI.
  • Must have a university background in CS, Engineering, or similar field.
  • Proficient in core Python libraries (pandas, NumPy, sklearn).
  • Hands-on experience with AI Models (OpenAI, Anthropic, Llama) and ML Ops tools like Airflow.
  • Familiarity with SageMaker, AWS components, NLP techniques, and AI/ML frameworks.
  • Experience with SQL, .NET, C#, HTTP APIs and web services in a scrum/agile environment.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party in accordance with applicable law. This screening may include employment history, education, and other relevant information.

Key skills/competency

  • Automation
  • Python
  • GenAI
  • ML Ops
  • AWS
  • NLP
  • Scrum
  • Collaboration
  • Continuous Improvement
  • Problem Solving

How to Get Hired at Booking Holdings (NASDAQ: BKNG)

🎯 Tips for Getting Hired

  • Research Booking Holdings: Understand company culture and business impact.
  • Tailor your resume: Highlight automation, Python, and GenAI skills.
  • Showcase relevant projects: Detail your AI and ML Ops experiences.
  • Prepare for agile interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python, pandas, NumPy libraries.
Practice AI model and ML Ops projects.
Study AWS services and SageMaker workflows.
Familiarize with GitLab and Terraform basics.

Behavioral Questions

Describe a cross-functional teamwork experience.
Explain a continuous improvement initiative you led.
Discuss handling high pressure in agile environments.
Share how you solve real-world technical problems.