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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Responsibilities:
Design, develop, and maintain RESTful APIs using .NET Core and related technologies.
Develop, test, and deploy web applications that meet functional and non-functional
business requirements.
Collaborate with front-end developers to integrate user-facing elements with server-side logic.
Write clean, scalable, and efficient code following best practices in software
development.
Participate in code reviews, design discussions, and contribute to continuous
improvement processes.
Troubleshoot and debug applications and APIs to optimize performance.
Work with databases such as SQL Server or NoSQL databases.
Implement security and data protection measures.
Collaborate with cross-functional teams, including QA, DevOps, and Project Managers, to ensure successful project delivery.
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Skills:
3+ years of hands-on experience with .NET Core in API and web application
development.
Proficiency in C# and ASP.NET Core for building server-side applications.
Strong understanding of RESTful API design, development, and best practices.
Experience with front-end technologies such as HTML5, CSS3, and JavaScript
frameworks (e.g. React, Angular or Vue.js).
Solid understanding of Entity Framework Core or other ORM tools.
Experience with SQL Server or other relational databases.
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Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.
Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
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Key Focus
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- Good listening and problem-solving approach
Role Overview
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Strong liaison skills to deliver assignments in time.
Up to date with industry leading software and technologies (Illustrator, In Design, Corel Draw, Photoshop etc.)
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The role provides L2 and L3 support and IS services to F&PA community using the Cognos Controller Applications
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Technical expertise:
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- Web tier technologies
- Network administration
- Web applications
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- Active management right from the initial stage till the end of the product life cycle to deliver high-quality products.
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**Skills**
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- Must have Excellent interpersonal skills and presentation skills.
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Perks and Benefits
The company provides medical insurance and other benefits.
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Full Stack Developer - Averlon