Top Tech Jobs & Startup Jobs in Delhi

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

Design, train, optimize, and productionize deep learning models for speech/audio and computer vision. Build scalable training pipelines, perform model inference optimization, integrate models into production services, monitor performance, and collaborate with software and product teams to deliver low-latency, reliable ML features.

The role involves managing end-to-end operations including warehousing, logistics, inventory management, and SAP transactions while optimizing costs and improving processes across multiple locations in India.

Lead Data Operations globally: run the Data Academy, manage regional Data Operations Leads, set SLAs and SOPs for the Data Desk, design enablement and recruitment systems, define technical standards (SQL, LookML, AWS), and drive automation with engineering while providing hands-on mentorship and escalation oversight.

The Infrastructure Engineer will enhance IAC, CI/CD pipelines, and scalable cloud infrastructure while collaborating with multiple teams on incident response and observability solutions.

Design, build, and maintain scalable ETL/ELT and real-time data pipelines on AWS. Manage Airflow DAGs, Kafka ingestion, Redshift optimization, data quality checks, API integrations, and cost optimization while collaborating with BI for reporting needs.