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Engaged Employer

WishLink

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2.4

based on 3 Reviews

13 WishLink Jobs

Machine Learning Engineer

Wishlink

2.4

based on 3 Reviews

2-5 years

Gurgaon / Gurugram

1 vacancy

Machine Learning Engineer

WishLink

posted 1d ago

Job Role Insights

Key skills for the job

Python SQL Machine Learning Social Media Marketing Linux Administration Android

+ 4 more

Job Description

Machine Learning Engineer/Data Scientist: Wishlink

About Wishlink

Wishlink is a well-funded, early-stage startup, on a mission to shape the creator economy and change how people shop. Our mission is to build a hyper-personalized shopping experience for every user, which is creator-led, so that every user can get exactly what they are looking for. We are on a mission to define new charters at the intersection of two of the most prominent aspects of the internet - e-commerce and social media.

Team and Investors

We re 3 founders, Chandan , Shaurya , and Divyansh , with a shared passion to solve real-world problems at scale and consume content for hours (XD). We started Wishlink in January 2022 when we discovered products on social media that we wanted to buy but could not (in some cases, actually did)! We are based out of Gurugram. We have recently raised a series A round of $7M, led by Fundamentum Elevation Capital .

Why Join Us

Exciting Problem

The way people shop online is changing. Users are tired of spending hours browsing humongous catalogues on eCommerce marketplaces just to find a single piece of apparel they like. They need curation, and they need trusted reviews - which is what Wishlink is bringing with the help of content creators. Wishlink is at the forefront of this change, enabling users to shop in an easier and more exciting way.

Immense Scale

In just 3 years of existence, Wishlink is used by over 900k users daily to discover and shop products online. This number has grown over 3x in the last 4 months.

Stellar Team

Wishlink is all about its people . Our business and engineering teams are young and energetic, come from stellar backgrounds, and are dedicated towards a common goal. Also, we have a LOT of fun!

Growth Opportunity

We have grown remarkably in the last 3 years and are doing a monthly GMV of over Rs. 150cr. We are working with over 10,000 content creators and 250+ brands and eCommerce marketplaces including Amazon, Flipkart, Myntra, Nykaa, Ajio, HM, Savana (Urbanic), Only, Vero Moda, Libas, Aurelia, Mama Earth, and many more.

Wishlink presents an exciting opportunity for you to contribute to and grow within the creator-enabled eCommerce space, have the chance to work at an emerging consumer-tech startup and be an integral part of this dynamic journey.

What Would You be Doing

Watch Reels and YouTube videos every day level up on your fashion sense!
Be a part of the Wishlink Shopping App ( Android , iOS ) team and build data science models to recommend content and products to end users.
Explore and experiment with techniques and algorithms to find the optimum solution
Build and deploy models end-to-end for product engineering teams to use
Play around with data and extract actionable insights
Explore generative AI models and build solutions to create 10x impact in business
Write maintainable and scalable code, and know when to trade code quality for faster delivery
Communicate with both technical and non-technical teams to identify and solve roadblocks in advance.
Solve new business problems using technology every day

What are we looking for

If you are a content creator yourself or have worked closely in the social media space - we like you already :)

Business-oriented problem-solving mindset
Willing to work in a fast-paced startup environment and follow Agile practices
3+ years of experience in building Machine Learning/Deep Learning models.
Proficiency in Python(OOPs) and SQL.
Experience in deploying Machine Learning models in production.
Experience with using cloud services (AWS/GCP).
Past experience in managing real time apis is a plus.
Past experience in building and managing Search and Recommendation Engines is a plus.
Willingness to learn new stacks and technologies to solve new business problems
Proficient in using Linux-based systems (any of Ubuntu/CentOS/MacOS/etc) and bash
Above everything, willing to learn continuously and keep improving

Perks and Benefits

We are committed to providing the best environment for you to thrive in. To help with this, we have the following benefits available for all our employees.