
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.

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Job Description
Title - Lead Snowflake Developer
Location - Chennai/Hyderabad/Bangalore
Role - Fulltime
Notice Period/Availability - Immediate
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Glint is a technically driven hyper local auto care service company that ensures doorstep car maintenance to the customer through monthly based subscription. At present, Glint has served around 1.5+ Lakhs orders with 1000+ monthly subscriptions.
At Glint, we believe in working in a collaborative environment. We practice flat hierarchy with more transparency and good flow of information.
After a successful operation in Chennai, we are launching next in Coimbatore.
We are currently looking for a Customer Success Executive, Coimbatore.
What will you do at Glint?
Customer Success Executive are the main interface for the clients with Glint You will work closely with the client to build relationships with all relevant stakeholders as a trusted partner. You must have a strong understanding of our Customer’s business objectives and the ability to identify and articulate how our solution supports achievement of the Customers’ strategic business goals. You will be responsible to drive value at every juncture of the client's journey- from on-boarding to expansion to renewal to prevention of churn.
- Work closely with the customer to ensure effective and efficient on boarding and drive greater usage/adoption over time
- Maintain a deep understanding of our solutions and content and educate clients about the most relevant features/functionality of our service offering.
- Effective, timely and accurate client communications, establishing and reviewing key performance indicators, and active positive engagement
- Developing efficient and effective management plans for clients renewals and up-sells of services.
- Serve as the voice of the client and provide internal feedback to Product, Engineering and other teams on how we can better serve our clients
- Support the resolution of delivery, implementation or technical issues Perform other duties as assigned
- Monitor clients usage throughout their lifecycle to not only identify and prioritize at-risk accounts but also ways to mitigate churn
What we’re looking for:
- Consistent performer who handles stressful situations and deadline pressures.
- Experience of 1-2 years of experience in B2C services, Customer Success, Account Management, Business Development, or another client-facing role
- Ability to multitask and experience working with cross-functional teams (e.g. Sales, Product, Marketing, Services)
- Empathy with a knack for understanding what a customer really needs and why they need it
- Bachelor's degree in any business-related course is an added advantage.
Website: https://goglint.in/
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- Understand the high-level product roadmap for the squad and immediate features to be developed, contributing to high-level estimation and lay-out of the development sequences. Complete complex development tasks with minimal guidance
- Constantly and actively contribute to pushing code to production with the objective of becoming a main contributor. Write testable, efficient, and reusable code suitable for continuous integration and deployment, that respects best practices and industry development standards
- Review Unified Modeling Language (UML) diagrams and technical documentation, ensuring its quality. Enable best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
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