Top Tech Jobs in Gurgaon

The role involves driving digital marketing strategies, focusing on SEO, PPC, affiliate marketing, content marketing, and social media to enhance client engagement and success.

Invite candidates to join ASM's Talent Community to receive tailored career updates, insider culture content, and early notice of job opportunities and projects.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Lead architecture and roadmap for the reporting platform; own report generation, data ingestion, and query performance in Python/Django/ClickHouse. Drive design decisions, reduce production recurrence, improve data pipelines, maintain portals, build dashboards, mentor senior engineers, and collaborate with product and stakeholders.

Lead product strategy and execution for BNBChain ecosystem verticals (DeFi, payments, AI, stablecoins). Define roadmaps, write PRDs, set KPIs, use on-chain analytics, conduct competitive research, and coordinate cross-functional teams to launch and iterate products used by developers and millions of users.

P2P.org invites passionate individuals to join their Talent Community, connecting with innovative professionals for future opportunities in decentralized finance.

The Manager, System Adoption will enhance collaboration with government education, ensuring effective integration of programs, stakeholder relationship building, and project implementation.

Lead and scale the Global Shared Services finance function as 2IC to Head of Finance. Own end-to-end AP/AR/Billing/Banking/Expense/Balance Sheet operations, month-end close, reconciliations, payments, controls, and metrics. Drive process transformation, automation, M&A integrations, team leadership, stakeholder management, and deliverable quality across global locations.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.