shaadi.com
https://shaadi.comAbout
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Jobs at shaadi.com
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Deep LearningWhat You’ll Do
● Partner with Product to spot high-leverage ML opportunities tied to business
metrics.
● Wrangle large structured and unstructured datasets; build reliable features and
data contracts.
● Build and ship models to:
○ Enhance customer experiences and personalization
○ Boost revenue via pricing/discount optimization
○ Power user-to-user discovery and ranking (matchmaking at scale)
○ Detect and block fraud/risk in real time
○ Score conversion/churn/acceptance propensity for targeted actions
● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
● Design and run A/B tests with guardrails.
● Build monitoring for model/data drift and business KPIs
What We’re Looking For
● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
● Proven, hands-on success in at least two (preferably 3–4) of the following:
○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;
bandits a plus)
○ Fraud/risk detection (severe class imbalance, PR-AUC)
○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,
guardrails/simulation)
○ Propensity models (payment/churn)
● Programming: strong Python and SQL; solid git, Docker, CI/CD.
● Cloud and data: experience with AWS or GCP; familiarity with
warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
● ML breadth: recommender systems, NLP or user profiling, anomaly detection.
● Communication: clear storytelling with data; can align stakeholders and drive decisions.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
PythonWhat We’re Looking For
- 3-5 years of Data Science & ML experience in consumer internet / B2C products.
- Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).
- Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection.
- Statistical chops: finding meaningful insights in large data sets.
- Programming ninja: R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).
- Visualization skills: Redshift, Tableau, Looker, or similar.
- A strong problem-solver with curiosity hardwired into your DNA.
- Brownie Points
- Experience with big data platforms: Hadoop, Spark, Hive, Pig.
- Extra love if you’ve played with BI tools like Tableau or Looker.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
🔷 Company: Shaadi.com
📌 Job Title: Product Advisor – Market Development (Sales)
🏢 Location: 251/19/A, 3rd Floor, Jayalakshmi Towers, Motilal Nehru Nagar, Prakash Nagar, Begumpet, Hyderabad – 500016
💼 Employment Type: Full-Time | On-Site
🕒 Shift: Day Shift
📅 Notice Period: Immediate
📈 Experience Required: 1–5 Years
💰 Salary Range: ₹2,00,000 – ₹3,00,000 per annum
✨ Incentives: Attractive performance-based incentives (you can earn more than your base salary upon meeting targets!)
📚 Qualification: Minimum 12th Pass (HSC); Bachelor's Degree preferred
🗣 Languages Required: English, Telugu, Tamil, Malayalam, Kannada, Hindi
🔧 Key Skills: Sales, Telesales, Customer Interaction, Communication, MS Excel
About the Role:
Join India’s leading matchmaking platform, Shaadi.com, as a Product Advisor in our Market Development Team. This is a client-facing sales role, perfect for individuals who are persuasive, proactive, and passionate about connecting with people and driving business growth.
Roles & Responsibilities:
- Make outbound calls to Shaadi.com members using provided leads to promote premium services.
- Explain product offerings that assist users in their search for a life partner.
- Follow structured sales processes and scripts to achieve high conversion rates.
- Update system records and maintain accurate documentation after every call.
- Conduct timely follow-ups with non-converted inquiries and update their status.
- Meet daily targets for calls, talk time, and revenue generation.
- Participate in performance reviews and training sessions.
- Guide walk-in customers (if applicable) and convert them into paid members.
- Ensure proper documentation is maintained for all sales and client communications.
Ideal Candidate Profile:
- 1 to 5 years of experience in Sales or Telesales (preferably in B2C roles).
- Excellent communication, negotiation, and relationship-building skills.
- Clear speech and confident verbal delivery.
- Working knowledge of MS Excel.
- High motivation, resilience, and a target-oriented mindset.
Preferred Qualifications:
- Bachelor's degree in any discipline.
- Fluency in regional languages is a strong advantage.
Why Join Us?
- Fixed salary + performance-based incentives (earn beyond your CTC).
- Be part of a leading Indian brand in online matchmaking.
- Work in a fast-paced and fulfilling environment.
- Long-term growth opportunities and recognition.
🔗 Interested candidates can apply here:
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We are a technology company with a proven track record of partnering with organizations to deliver innovative mobile and cloud solutions & products. We believe that cloud and mobility are the means to deliver solutions to tomorrow’s challenges. Over the last 10 years, we have completed over 200 projects, and many of those have reached the top of the AppStores. We have worked across a number of categories including Fintech, Social, Retail, Enterprise, Lifestyle, Ticketing, Sports, Healthcare, Entertainment and many more.
We have worked with both Fortune 500 companies and innovative startups, and delivered successful products. We have a 40+ people team which, includes UI/UX designers, the best breed of engineers for iOS and Android, Full Stack Developers and Innovators. Other than design and development, Byteridge helps companies understand and define the product that needs to be built. This includes working with the stakeholders to understand the business, recognizing areas of improvement and aligning the project scope with the customers problems.
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