Top Tech Jobs & Startup Jobs in Mumbai

Designs and delivers end-to-end automated testing solutions across web, mobile, UI, API, database, cloud, and IoT environments. Owns QA strategy, test plans, automation frameworks, test execution, documentation, defect resolution, and quality reporting. Integrates automation into CI/CD pipelines, performs functional, regression, integration, and performance testing, and collaborates with developers, product managers, stakeholders, and offshore teams to improve testing processes and product quality.

Leads global controls engineering standards, plant automation deployments, OT infrastructure, and systems optimization across manufacturing sites. Develops solutions using SCADA, PLC, industrial networking, cybersecurity, scripting, and virtualization technologies. Provides root-cause analysis, disaster recovery, architecture planning, technical support, and guidance on system obsolescence. Partners with plants, OEMs, integrators, and internal technical teams to improve productivity, quality, reliability, and manufacturing costs while mentoring engineers and coordinating multi-site technical delivery.

The Commercial Capabilities Analyst develops sales reporting and analytics solutions using retailer and syndicated data. Responsibilities include gathering requirements, translating business needs into technical documentation, coordinating Reporting Pod activities, consulting on data processes, writing unit and integration tests, building automation, and providing insights to commercial stakeholders. The role collaborates with analysts, data engineers, BI developers, architects, project managers, and Sales and e-commerce teams while supporting enterprise initiatives across the solution lifecycle.

Leads global finance operations across accounts payable, accounts receivable, and general accounting hubs. Oversees vendor relationships, service delivery, governance, controls, compliance, and operational performance. Drives finance transformation through process modernization, digitization, automation, and continuous improvement. Advises finance leaders and business stakeholders while developing a high-performing global organization, strengthening talent pipelines, and ensuring scalable, consistent financial services across regions.

Develop and execute product-location distribution and replenishment plans across the company network. Monitor inventory, deployment exceptions, service risks, and transportation costs while balancing customer service and inventory objectives. Partner with planners, transportation, production, and demand teams to resolve issues, analyze supply chain KPIs, maintain planning systems, support process improvements, and provide recommendations for network balancing and shipment prioritization.

Supports Strategic Revenue Management for the Pet business through analysis across pricing, trade, price pack architecture, mix, and terms. Builds reporting and analytical tools, identifies opportunities using forecasting models, presents data-backed recommendations, and partners with stakeholders to drive action. The role also manages multiple projects, improves processes, ensures data quality, and develops strong stakeholder relationships through clear communication and business-focused insights.

Leads and develops software engineering teams supporting enterprise software portfolios. Oversees hiring, talent development, performance management, staffing, project prioritization, delivery execution, engineering practices, and vendor relationships. Partners with technical and cross-functional leaders to deliver scalable applications, strengthen team capabilities, and improve software development processes.

Supports enterprise AI and automation initiatives across project planning, agent development, governance, publishing, testing, triage, performance monitoring, and optimization. Partners with business and technology stakeholders to identify AI opportunities, lead workshops, manage feature requests, and champion AI adoption. Analyzes program KPIs, coordinates technical projects, and contributes to AI lifecycle processes and operational excellence.

Lead enterprise data science solutions spanning machine learning, deep learning, Generative AI, Agentic AI, NLP, and RAG. Frame business problems, develop and evaluate models, design production AI workflows, and collaborate on deployment, monitoring, MLOps, governance, and Responsible AI. Provide technical leadership, mentor junior team members, manage stakeholder relationships, and establish data science best practices across the organization.

Leads AI and machine learning strategy, model development, technical explorations, and production delivery. Partners with stakeholders, ML engineers, and systems engineers to deploy scalable solutions, oversee MLOps and model performance, mentor data scientists, evaluate emerging technologies, and promote AI literacy. Requires expertise in Python, SQL, GCP Vertex AI, supervised learning, AI solution architecture, and end-to-end machine learning development.