Top Tech Jobs in Gurgaon

As an Engagement Specialist, you will process portfolio reconciliations, month-end shadow accounting, and communicate results with stakeholders while ensuring quality service in financial technology.

Conduct in-depth FinTech and capital markets research, profile investors and key individuals, analyze term sheets and market activity, and manage proprietary investor databases. Deliver accurate, timely KRAs and support live transactions through investor tracking and reporting.

Lead backlog end-to-end for a DTC health mobile product: prioritize features, write acceptance criteria, run sprint planning, collaborate with stakeholders and engineering, use data to guide decisions, ensure compliance, and champion AI-driven workflows.

Provide technical accounting advice and financial reporting support to clients, research complex accounting issues, assist with implementation of new standards, prepare financial statements, support client relationship management, contribute to proposals and business development, and manage multiple engagements and deadlines under manager supervision.

Manage and coach a team of datacenter trainers to design and deliver technical workforce training, assess learning needs, close operational training gaps, partner with site managers, and align training with availability, safety, and throughput goals across global datacenters.

Own revenue growth for a portfolio of licensing and solution partners. Build C-suite relationships, create and execute Partner Business Plans, lead cross-functional PODs, drive renewals, co-sell, AI/Copilot and security motions, and run disciplined sales rhythms (MBR/QBR, pipeline, MCEM) to meet quarterly targets.

Lead and execute the AI roadmap: architect, train, and optimize LLMs, GANs, CV and NLP models; build scalable MLOps pipelines; deploy models to cloud; and hire, mentor, and coordinate an AI engineering team with product and business stakeholders.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Configure and maintain Kinaxis RapidResponse for end-to-end supply chain planning: design, build, test, and deploy workbooks, alerts, scripts, dashboards and integrations; support users, troubleshoot analytics, and assist with releases and data integrations.

Design, build, and maintain ETL pipelines, data warehouses, and dashboards. Develop and optimize complex SQL, ensure data quality and integrity, work with Oracle databases and NetSuite, collaborate with stakeholders, document pipelines, and support performance tuning and issue resolution.

Develop, evaluate, and productionize ML models (demand, conversion, forecasting, personalization). Build scalable AWS-based ML pipelines, design experiments (A/B tests, bandits), and translate results into business recommendations while contributing to code quality and team collaboration.