Top Tech Jobs & Startup Jobs in Mumbai

Leads Supply Chain data foundations by translating business needs into technical specifications, designing scalable data pipelines on Google Cloud Platform, and improving data quality, governance, metadata, lineage, security, and reliability. Partners with business and technology stakeholders, mentors analysts, maintains data models and integrations, and supports sustainability reporting, digital twins, predictive analytics, regulatory compliance, automation, and AI enablement.

Designs, develops, and operates enterprise automation and AI-enabled solutions using ServiceNow, Power Platform, machine learning, and agentic AI. Builds workflows, portals, applications, integrations, and CSM solutions; supports platform modernization, governance, security, testing, and production stability. Provides technical leadership, troubleshooting, vendor coordination, stakeholder collaboration, and team coaching while driving adoption of emerging automation technologies.

Designs, develops, and maintains end-to-end MLOps pipelines and production machine learning solutions using GCP, Vertex AI, Airflow, Kubeflow, MLflow, and related technologies. Responsibilities include data transformation, deployment, monitoring, retraining, CI/CD, architecture design, production support, troubleshooting, platform improvement, mentoring, and collaboration with data, platform, and business teams.

Lead the migration and modernization of enterprise Oracle databases to public cloud platforms. Administer Oracle 19c environments, Data Guard, ASM, backup and recovery, tuning, patching, and upgrades in a 24/7 setting. Develop Linux, shell, and Python automation; support cloud security, governance, lifecycle management, monitoring, and self-service provisioning. Collaborate with application teams, resolve incidents and alerts, and maintain operational documentation using Agile and DevOps practices.

Leads product material setup, commercialization governance, raw-material lifecycle planning, packaging transitions, write-off mitigation, and supply-chain project execution. Partners cross-functionally with planning, sourcing, manufacturing, marketing, sales, R&D, and technical teams. Maintains dashboards, manages risks and budgets, supports forecasting, improves data governance and lifecycle processes, and drives continuous improvement using standardized tools and automation.

Designs, builds, deploys, and optimizes scalable machine learning, deep learning, MLOps, and agentic AI solutions for R&D, consumer research, and quality challenges. Leads the full ML lifecycle, develops predictive models and production pipelines, implements LLM-based AI agents, evaluates system performance, translates business needs into analytical solutions, and communicates insights to technical and non-technical stakeholders.

Drive item, week, and location-level forecast accuracy using OMP and statistical forecasting tools. Review forecasts, manage promotions, seasonality, and volatility, analyze forecast performance metrics, maintain data integrity, and provide insights to supply planning and business stakeholders. The role supports inventory and cost reduction, continuous process improvement, forecasting projects, and training while working an afternoon-to-evening shift.

Own international market supply planning for finished products, balancing availability, inventory, service, cost, and waste. Manage replenishment, stock policies, shelf-life requirements, supply parameters, demand consolidation, production decisions, and supply sufficiency analysis. Partner with plants, regional planning teams, logistics, and global stakeholders to resolve supply gaps, improve planning standards, analyze metrics, support automation, and strengthen operational performance.

Provides end-to-end supply chain planning support for operations, system enhancements, configurations, testing, and OMP deployments. Coordinates with technical and business teams to resolve planning issues within service-level targets, improve system stability, and support SAP and planning-tool processes. The role includes production support, data evaluation, cutover activities, and rotational off-hours coverage.

Monitor inventory across warehouses, deploy finished goods, and adjust replenishment requisitions to meet service-level targets while controlling transportation and inventory costs. Review alerts, obsolescence, demand trends, forecasts, and KPI performance. Coordinate with warehousing, transportation, supply and demand planning, and business teams to manage seasonal products, promotions, new items, and process improvements.