Top Tech Jobs & Startup Jobs in Mumbai

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.

Lead SAP Supply Chain Execution (SCE) for the Pharma segment: design and configure SAP S/4HANA modules (MM, LE, SD, FI), integrate with WMS/EDI/commerce platforms, enforce tools (Solution Manager/ChaRM/JIRA), ensure SOX/IT control compliance, support SDLC, mentor teams, and coordinate global delivery.

Lead and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.

Design, build and maintain test automation frameworks and automated test scripts for web, API (and mobile) platforms; perform test planning, estimation, execution, result analysis, defect reporting, and risk assessment; collaborate with BAs and development teams; mentor test engineers and improve testing practices across global teams.