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Location: Bangalore
Department: Engineering
Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally.
Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond.
Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real.
We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading.
What You'll Do
Build and maintain features and components for graph-native models (GNNs, embeddings, graph algorithms) used to detect fraud, collusion, and identity risk
Support the design, training, and evaluation of statistical, AI/ML, and deep learning models for fraud and risk, under a senior data scientist's guidance
Run experiments, clean and prepare data, and do light pipeline work to help tune model performance
Write production-quality code backed by statistics and ML, and help build out ML observability for the models you work on
Document your work clearly enough that others on the team can pick it up
What You'll Bring
BS/MS in ML, CS, Math, Stats, or a related field; 1 to 3 years in DS/AI/ML Engineering roles (internships with real shipped work count)
Strong Python; working knowledge of SQL; exposure to a cloud platform (AWS/Databricks/Azure) is a plus
Some experience taking a model from a notebook toward something production-adjacent, ideally with fraud, risk, payments, or compliance data — but we'll take strong fundamentals over domain experience
Comfort with ambiguity and unlabelled data, and the initiative to ask questions and look things up rather than wait to be told
Prior exposure to graph-based thinking (even coursework or personal projects) is a plus, not a requirement
We hire self-motivated people and get out of their way
We value performance, not hours worked
Speed, ownership, and impact matter most
Competitive salary + potential equity
Health benefits, flexible PTO, learning budget
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3728 that say).
From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 286 posts).
In Bangalore.
It is a full time job.
Interview preparation · 60 questions
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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