Info Edge
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Noida · On-site · 4-7 Yrs · 2 hours ago
Internet & Web Services · 5001 to 10000 Employees · Noida, India
Info Edge, India’s premier online classifieds company is fundamentally in the matching business. The umbrella brand has an online recruitment classifieds, www.naukri.com– India’s No. 1 Jobsite with over 75% traffic share, a matrimony classifieds, www.jeevansathi.com, a real estate classifieds, www.99acres.com– India’s largest property marketplace and an education classifieds, www.shiksha.com Find out more about the Company at www.infoedge.in At Info Edge we celebrate the spirit of new ideas and how we can create transformational experiences for the consumers using Data and Technology. While the Company has been growing at the anvil of Product, Technology, Design and Technology, in order to ensure that the most relevant products get matched to the consumer needs, the Company is increasingly turning towards Artificial Intelligence, Machine Learning and Deep Learning. We are now setting up a next generation Research Lab to build capability within the organization to solve large complex problems which can be game changer. The Research Lab will leverage Data Science to innovate, disrupt and solve for key business problems, and lay foundation for our next-gen products. It will develop complex, scalable search and matching algorithms leveraging the vast amount of available user data available across our different platforms. About Info Edge: Info Edge (India) Limited (NSE: NAUKRI) is among the leading internet companies in India. With a network of 62 offices located in 43 cities throughout India, Info Edge has 4,049 employees engaged in innovation, product development, integration with mobile and social media, technology and technology updation, research and development, quality assurance, sales, marketing and payment collection.
Hiring: Engineering
What employees say
+ Nothing to tell more, you will learn a lot of things
− the mangers oh my god! work of nonsense no set goals
More reviews on the company profile.
Interview experience · Data Scientist
5 rounds of interview - machien learning knowledge + pseudo coding decisison tree + linear algebra + statistics. many such questions were asked and it was pretty difficult. also we had case studies. it was pretty difficu
Difficult difficulty · Bangalore Rural · 376 reports
More interview insightsJob description
Overview
• Improve the quality of search results, so that the most relevant jobs appear at the top.
Responsibilities
- Improve the quality of search results, so that the most relevant jobs appear at the top.
- Work out what a user actually means when they type a search — the role, the locality, the experience level, the pay they expect — even when the query is a few words typed in Hindi, Hinglish or a regional language, with spelling that follows how the word sounds.
- Make distance a first-class part of ranking. For most of our roles, a job close to home is a fundamentally better result than a well-matched one across the city.
- Keep results genuine and current — filled or low-quality listings ranked highly are a bad user experience, so quality and freshness are part of the model, not an afterthought.
- Build and improve recommendation models that suggest relevant jobs to jobseekers and relevant candidates to recruiters.
- Decide how "good" is measured, and prove your changes helped by running experiments on live traffic.
- Work with very large volumes of user activity data to build the inputs your models need.
- Partner with product managers and engineers to take models live, and present results clearly to both technical and non-technical audiences.
- 4–6 years of hands-on machine learning experience.
- At least 2 of those years spent on search result ranking, recommendations, or personalisation — for a live product with real users. Academic projects, competitions, and internal prototypes do not count towards this.
- Strong programming in Python and strong SQL.
Qualifications
- Practical experience with the machine learning techniques used for ranking and recommendations.
- The ability to explain a technical trade-off in simple language to a product manager or business stakeholder.
- Practical use of large language models to support search and relevance work.
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Job application FAQ
Last updated 20 September 2026
- How do I apply for Lead Engineer - AI/ML at Info Edge?
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Engineer - AI/ML remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Lead Engineer - AI/ML role at Info Edge?
- This is a lead Lead Engineer - AI/ML role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.