Data Science
Python
Machine Learning (ML)
Docker
Amazon Web Services (AWS)Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- 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
Ideal Candidate
- 2–5 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Integra Magna is a design and tech-first creative studio where designers, developers, and strategists collaborate to build meaningful brands and digital experiences. With 10+ years of industry experience and work across 100+ global brands, our core services focus on Branding, UI/UX Design, and Website Development. We are recognised with a 4.9 rating on Clutch and an Awwwards honour, reflecting a strong culture of quality, ownership, and craft.
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- Assist in creating compelling graphic design content.
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Experience: 2-5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most companies think HR is about policies.
It isn’t.
It’s about building a system where great people join, stay, perform, and scale.
We are at a stage where hiring, performance, and culture cannot depend on founders anymore.
This role exists to build a repeatable, investor-grade people engine.
What you’ll do
You will not “manage HR.”
You will design and run the operating system for people.
1. Build a high-performance hiring engine
- Own hiring across functions (engineering, GTM, ops)
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- Ensure quality of hire improves over time, not just speed
- Build pipelines for leadership hiring (not just execution roles)
2. Design compensation & ownership frameworks
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Hey, I run Chevron Media. We're a small, profitable performance marketing team in Panchkula running lead generation campaigns at scale across Facebook, Google, TikTok, and Newsbreak — mostly for the US market.
We're looking for our first tech hire. Whoever takes this role gets to build the foundation. Not maintain someone else's code. Not fix legacy bugs. Build.
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Most developers at your stage spend a year doing tickets on a backlog before anyone trusts them with real work. Here, you walk in on day one and start building things the entire company will use the next morning.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon