Machine Learning Scientist Ii
5 months ago
**Machine Learning Scientist II (Places) - Remote**
**Experience**: 2+ years
**Salary**: INR 4,99,523 / month
**Expected Notice Period**: 2 to 4 Weeks
**Shift**: 11:00AM to 7:00PM IST
**Opportunity Type**: Remote
**Placement Type**:Permanent
**(*Note: This is a requirement for one of Uplers' clients)**
**What do you need for this opportunity?**
**Must have skills required**:
ETL Pipeline, Machine Learning Model, Python, R, SQL
**Good to have skills**:
Large POI Database, LLM, Text Embeddings Generation, NLP
**Our Hiring Partner is Looking for**:
Machine Learning Scientist II (Places) - Remote who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
**Roles & Responsibilities**
Are you ready to revolutionize the way travelers discover and explore the world? Join the Tripadvisor Machine Learning Team as a Machine Learning Scientist II, and embark on a thrilling journey to build the next generation Points of Interest (POI) system. The entire Tripadvisor platform is built on top of our POI metadata for the millions of hotels, attractions, and restaurants listings. This role is pivotal in maintaining the accuracy, coverage, and high-quality place listings that form the bedrock of Tripadvisor's unrivaled user experience. As a ML Scientist II, you will partner with product and engineering to create innovative solutions that evaluate, match and integrate POI data from different sources to build the most accurate, complete, fresh & rich database of travel-related POIs in the world.
**Responsibilities**:
- Work with product and engineering to understand the business problems related to place metadata, including how it’s processed and stored, and define the requirements for machine learning models and algorithms to solve them.
- Automate ETL pipelines to process large databases of POIs from different sources efficiently and reliably.
- Prototype, deploy, and maintain new models and algorithms for POI matching/conflation, source evaluation, identifying closed businesses, scraping metadata, extracting attributes from UGC, and flagging inaccurate data.
- Communicate progress, experimental findings, and insights clearly and concisely to both technical and business stakeholders.
**Qualifications**:
- A master’s degree or PhD in computer science, data science, engineering, statistics, or a related field.
- 2+ years of experience in developing and deploying end-to-end machine learning models and algorithms at scale.
- Proficiency in Python, R or a similar numerical/statistical programming language.
- Ability to interpret and write complex SQL queries.
- Experience with handling data heterogeneity, incompleteness, duplication, and uncertainty issues in large datasets.
- Experience working with large POI databases and/or geospatial data.
- Experience with LLMs and traditional NLP techniques.
- Experience with text embeddings generation and manipulation, as well as storage and retrieval technology such as vector databases.
**Engagement Type**:
- Job Type: 6 Months Contractual
- Location: Remote
- Payroll and Compliance will be managed by KaamWork
- Working Time: 11:00 AM to 7:00 PM IST
**Interview Round**:
- R1 : Initial Screening Round (45Min)
- R2 : DSML Fundamentals & Case Study (60Min)
- R3: SQL Coding Interview (60Min)
- Clear the given AI Screening (30 min) and Click on ‘Apply’ to get shortlisted
- Our team of talent matchmakers will matchmake you with the client
- Crack a quick interview with our client
- Land your global dream job and get your exciting career started
**About Our Hiring Partner**:
TripAdvisor is an American online travel company that operates the largest travel guidance platform. It provides reviews of travel-related content, including hotels, vacation rentals, flights, and restaurants. The company was founded in February 2000 by Stephen Kaufer, Langley Steinert, and others. As of 2022, TripAdvisor has over 290 million reviews and opinions covering 8 million accommodations, restaurants, and attractions.
**About Uplers**:
**Job Type**: Permanent
Pay: ₹499,523.00 per month
**Benefits**:
- Work from home
Work Location: Remote
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