Top Tech Jobs & Startup Jobs in Pune

Drive risk and compliance activities for finance and supply chain: perform risk management and reporting, due diligence, remediation and corrective action planning, user access management, SOX compliance, and partner with stakeholders and global teams to implement controls and support audits.

Drive financial and sales fundamentals improvement for an assigned franchise in Japan. Develop and execute trade and shopper marketing-informed franchise strategies, collaborate cross-functionally (marketing, finance, supply chain), set and monitor KPIs with PDCA, create customer value propositions and semi-annual selling stories, maximize profitability/RGM and trade fund ROI, and strengthen distribution and in-store presence to achieve sustained category growth and >10% growth on key items.

Provide frontline HR/People support via phone, email, web-form and chat. Troubleshoot employee inquiries, promote self-service, use case management and telephony tools, escalate complex issues, contribute to knowledge base and process improvements, and meet service level targets in a 24/5 contact center.

Process and analyze invoices, inventory purchases and discounts; investigate and resolve invoice/payment discrepancies; audit expense reports; maintain and troubleshoot the expense system; collaborate with suppliers, IT and internal stakeholders to ensure accurate, timely financial processing and automation of R2P workflows.

Responsible for statistical forecasting, aligning supply and demand, driving IBP processes, analyzing data and KPIs, implementing forecasting tools (Power BI/SAP APO), managing new product introductions and supply disruptions, preparing monthly reports, and collaborating cross-functionally to improve forecast accuracy and planning efficiency.

Design, automate, and manage end-to-end ML pipelines and scalable infrastructure on Azure. Build CI/CD with GitHub Actions, containerize models with Docker and AKS, monitor model lifecycle and data drift, implement cost controls, and collaborate with data science, DevOps, and IT to deploy resilient, production-grade ML solutions.