Top Tech Jobs & Startup Jobs in Delhi

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

Maintain, monitor, and improve production Agentic AI and ML models for finance. Perform EDA, build data pipelines in Python/SQL, design and optimize prompts and RAG/LLM pipelines, support model-serving APIs, troubleshoot model drift, and produce KPI-driven insights for operational adoption.

Support, monitor, and improve production Agentic AI and ML models for finance. Build data pipelines, perform EDA, optimize prompts and agents, troubleshoot drift, integrate models via APIs, and produce KPI-driven insights to align models with financial business requirements.

Lead QA for ServiceNow platform enhancements: design and execute functional, integration, regression and ATF automation tests; validate releases, track defects, support deployments, and promote QA best practices within Agile teams.

Plans and executes internal and external meetings, events, and trade shows. Manages event logistics (venues, catering, transportation, A/V), vendor selection and negotiation, budgets, calendars, invitations, promotional materials, and ensures events align with brand and business objectives.

The role involves designing, developing, and implementing Master Data Management services in SAP MDG, ensuring system stability and quality delivery of technical solutions.

The Senior Data Scientist will develop strategies for analytics, lead operational processes, and promote the use of data science solutions while collaborating internally and externally to ensure effective adoption.

Configure and enhance SAP FICO (GL, AP, AR, FA), design finance integrations with non‑SAP systems, provide functional SAP finance expertise, mentor SAP teams, and drive SAP-enabled supply chain and finance solutions across the business.

Support data management and governance functions: help implement data strategy, ensure data quality, standards, and service levels, acquire/validate/standardize data, follow policies and consult supervisors on complex issues.

Support data management and governance activities: enforce data quality, standards, and policies; acquire, validate, standardize, enrich, protect and publish data; follow procedures for routine tasks and consult supervisors on complex issues.