Machine Learning Engineer II

Experience: 4.00+ years

Salary: INR / month (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full-time Permanent position(Payroll and Compliance to be managed by: Kaam Work)

(*Note: This is a requirement for one of Uplers' client - TripAdvisor)

What do you need for this opportunity

Primary Skills:

A/B Test Design, ChatGPT, Complex SQL Queries, ETL pipeline, llm prompt engineering, Natural Language Processing, Snowflake, Spark, Machine Learning, Python

TripAdvisor is Looking for:

The Tripadvisor Data Science Team is looking for an exceptional experienced Machine Learning Engineer to help lead the design and implementation of next generation systems to help our users discover, iterate, and execute on their travel plans. Our team is focused on recommendation, personalization, explanation, and enhanced user interaction across multiple business verticals including Tripadvisor Experiences, Accommodations, and Restaurants. As a Machine Learning Engineer working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, with a particular focus on recommendations, generative AI, NLP, and system design.

This position requires work hours alignment with UK/Lisbon time zone.

What You Will Be Doing:

Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, NLP, customer modeling) across all channels (e.g., Web, email, paid marketing)

Work with other teams in solving problems and identifying opportunities

Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation

Automate ETL pipelines

Prototype, evaluate, deploy and maintain new models in production

Design AB tests and analyze their results

Discover new ways to analyze and interpret the data

Communicate progress and interpretation of experimental results to technical and business stakeholders

Lead the determination of next steps for each project.

What You Are Like:

Team player

Loves to learn

Great communication skills with both technical and non-technical partners

Gets things done on time and on specification

Can work independently

This Role Requires:

Qualifications:

PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred

Strong software engineering skills

Experience with Natural Language Processing

Experience with LLM prompt engineering

Automate ETL pipelines is important

Strong background in machine learning and statistics

Solid foundation on data structures and algorithms

Proficiency in Python for numerical/statistical programming (our group relies heavily on Pandas/Numpy/Scikit-learn/PyTorch)

Ability to write complex SQL queries

Experience with big data technologies, such as Snowflake and Spark

Knowledge of AB test design and analysis

Track record of leading the deployment and maintenance of models

At least 2+ year of relevant, practical experience in Machine Learning - Mandatory

Nice to Haves:

Exposure to LLM offerings from various vendors (ChatGPT, LLama, PaLM…)

Experience with online businesses.

Experience with Recommender Systems

Important Note:

Kaamwork is the on-the-ground HR partner managing services employment contracts, payroll, and compliance.

Kaamwork serves as the Employer of Record while Trip managers all work-related decisions and operations.

The shared Salary is just the range. The final salary will get released based on your technical expertise, Interview experience and overall interaction on multiple clients' rounds. Do not consider the given range as FINAL expectation or will receive.

How to apply for this opportunity

Register or login on our portal & fill out the application form.

Clear the given AI Screening (30 min) and Click on 'Apply' to get shortlisted

Once it's all done, your profile will be shared with the client for the Interview round.

When selected, just meet the client and get your exciting career started!

About our Client - TripAdvisor:

Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions of nearly 8 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, Tripadvisor makes planning easy no matter the trip type.

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Full time