Top Tech Jobs & Startup Jobs in Delhi

Develop and maintain web applications for Binance’s internal teams, including AI-driven and business-critical products. Collaborate with global cross-functional teams, integrate APIs and AI models, write comprehensive unit tests, manage feature releases, troubleshoot defects, and optimize performance. The role requires production JavaScript experience, React and Vue expertise, strong UI development skills, and familiarity with remote data and AI technologies.

Provide end-to-end legal counsel for cryptocurrency and financial product development, launch, documentation, user terms, commercial agreements, and ongoing governance. Advise product, compliance, risk, and business teams on global regulatory considerations, negotiate complex financial and technology product terms, support legal projects, and mentor Product Legal colleagues. The role requires qualified legal expertise, strong financial services or fintech experience, and familiarity with digital-asset regulatory frameworks.

Manage operations for Binance Wallet's Web3 products: analyze blockchain market and on-chain user data, design and execute growth and community strategies, coordinate cross-functional project delivery, monitor metrics (on-chain volume, DAU, retention, conversion), and produce data-driven reports to drive product iteration and user growth.

Participate in developing and maintaining core products, implementing business-module interface documentation, troubleshooting QA-reported issues, and supporting customer-service teams with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware experience, strong communication skills, and collaboration in a global blockchain environment.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and assisting customer support with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware familiarity, strong communication, teamwork, and logical problem-solving skills.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Develop user-facing financial AI and equity research algorithms across query understanding, document processing, entity recognition, event detection, retrieval, ranking, and quality evaluation. Build datasets, labeling systems, benchmarks, and production evaluation frameworks. Apply large language models, NLP, machine learning, reinforcement learning, knowledge graphs, and multimodal methods while collaborating with engineers to deploy and continuously optimize financial data and knowledge systems.

Support planning and executing global marketing campaigns: design campaign rules, configure and test launches, monitor performance, analyze user behavior, produce reports, and optimize operational processes and documentation to improve efficiency and campaign ROI.

Designs and develops blockchain security products, core frameworks, APIs, infrastructure, and automation for large-scale distributed systems. Responsibilities include architecture standards, performance tuning, incident troubleshooting, system refactoring, continuous delivery, capacity management, and reusable libraries. The role also engages users, coordinates with cross-functional teams, and addresses security risks involving blockchain, smart contracts, wallets, and on-chain attacks.

Early-career data scientist role to analyze user and content data, build metrics, design recommendation strategies (recall, ranking, cold-start, diversity), run A/B tests, evaluate experiments, explore LLM/multimodal applications, and improve data pipelines and feature logging.