Top Tech Jobs & Startup Jobs in Delhi

Perform IP geolocation investigations to detect location-circumvention and restricted-location risks; document findings in the case management system; escalate high-risk cases; support remediation, control reviews, and governance improvements; collaborate with Operations, Product, and Business stakeholders to enhance geofencing controls.

Design and build backend microservices for real-time fraud detection, transaction monitoring, and risk analysis. Integrate ML models and risk scoring engines, support scalable distributed systems, and leverage AI-assisted development and LLM/agent tools for risk automation.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Lead regional product efforts to design and deliver a compliant, user-friendly KYC/KYB platform. Define roadmap and PRDs, coordinate with engineers, designers, and stakeholders, manage execution and timelines, refine workflows to optimize conversion, support global/regional leaders, document features, provide user support, and track metrics to drive continuous improvements.

Early-career role building AI-powered developer tools and internal LLM applications. Tasks include coding assistants, lightweight RAG pipelines, prompt optimization, testing, documentation, and researching emerging AI technologies to improve engineering productivity.

Design and implement automated tests, perform manual backend investigations, reproduce and track defects, conduct root-cause analysis, document test scenarios, expand scripted coverage, and improve QA processes while collaborating with developers, product managers, and stakeholders.

Early-career research role implementing and running experiments on LLM reasoning, post-training alignment, and agentic AI for crypto markets. Tasks include literature synthesis, model implementation (PyTorch/Hugging Face), experiment tracking (Weights & Biases), and collaborating with engineers to translate research into production.

Manage daily exchange wallet operations (deposits, withdrawals, transaction monitoring), maintain uptime, coordinate network upgrades and token events, collaborate with security for incident response, automate processes, analyze transaction data and competitor trends, and work cross-functionally to resolve wallet-related user issues.

Own end-to-end QA for Live Streaming & Content: plan, design, execute tests, and sign off releases across App/Web/Backend/Admin. Lead cross-platform and high-concurrency streaming tests, extend Python/pytest automation and k6 performance suites, collaborate with PMs/engineers/compliance, and contribute to AI-assisted testing initiatives.

Source and evaluate blockchain and crypto projects for listing, build relationships with founders and VCs, support due diligence and tokenomics analysis, drive internal approvals, negotiate terms, and represent Binance at global events.