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Machine Learning Engineer II (Big-Data Heavy) Job Opening In Gurugram – Now Hiring Expedia Group


Job description

Expedia Group brands power global travel for everyone, everywhere.

We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners.

Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first.

Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey.

We’re building a more open world.

Join us.

Machine Learning Engineer II (Big-Data Heavy)

Are you fascinated by data and building robust data and machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end customer?

This is exactly what we, Data & AI ML organization in Expedia, do.

Our team is looking for a Machine Learning Engineer to join our Machine Learning Engineering team in Gurgaon.

Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the traveler journey and experience.
We believe in being Different.

We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and sameness is dangerous.

Expedia is committed to crafting an inclusive work environment with a diverse workforce.

All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.


Experience:

  • 4+ years for Bachelor's
  • 2+ years for Master's

What You'll Do:

  • Work in a cross-functional team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time data pipelines on the AWS.
  • Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team
  • Communicate and work effectively with geographically distributed cross functional teams
  • Participate in code reviews to assess overall code quality and flexibility
  • Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team.
  • Follow through on details and drive issues to closure
  • Define, develop and maintain artifacts like technical design or partner documentation Drive for continuous improvement in software and development process within an agile development team
  • Participate in user story creation in collaboration with the team
  • Support and troubleshoot data and/or system issues as needed

Who You Are:

  • Degree in software engineering, computer science, informatics or a similar field.
  • Developed software in a team environment of at least 5 engineers (agile, version control, etc.).
  • Built and maintained a software project/product in production environments in public/hybrid cloud infrastructure.
  • Comfortable programming in Python and Scala.
  • Hands-on experience with OOAD, design patterns, SQL and NoSQL.
  • Knowledgeable in big data technologies, in particular Spark, Hive, Hue, Qubole and Databricks.
  • Experience in crafting real-time streaming applications, preferably in Spark streaming, and Kafka/KStreams.
  • Must-have experience: solid experience working on Big Data, good understanding of ML pipelines and ML lifecycle, Batch processing and Inferencing applications, PySpark, SQL
  • Experience of using cloud services (e.g. AWS).
  • Experience with workflow orchestration tools (e.g. Airflow).
  • Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning.
  • Experience working with Agile/Scrum methodologies.
  • Good-to-have experience: in real-time / live processing and inferencing applications

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia is committed to creating an inclusive work environment with a diverse workforce.

All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Gurugram, India, highlighting market share and opportunities for professionals in Machine Learning roles.

18638 Jobs in India
18638
296 Jobs in Gurugram
296
Download Machine Learning Jobs Trends in Gurugram and India

Are You Looking for Machine Learning Engineer II (Big Data Heavy) Job?

Great news! is currently hiring and seeking a Machine Learning Engineer II (Big Data Heavy) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Expedia Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Machine Learning Engineer II (Big Data Heavy) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer II (Big Data Heavy)?

Key qualifications for Machine Learning Engineer II (Big Data Heavy) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Machine Learning Engineer II (Big Data Heavy)?

To improve your chances of getting hired for Machine Learning Engineer II (Big Data Heavy), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Engineer II (Big Data Heavy) Job Success

Expedia Group interview tips for Machine Learning Engineer II (Big Data Heavy)

Here are some tips to help you prepare for and ace your Machine Learning Engineer II (Big Data Heavy) job interview:

Before the Interview:

Research: Learn about the Expedia Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer II (Big Data Heavy) interview at Expedia Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Expedia Group's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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