Top Tech Jobs & Startup Jobs in Mumbai

Supports enterprise transformation initiatives through change management planning, impact and readiness assessments, stakeholder engagement, reporting, and adoption activities. Develops change narratives, stakeholder analyses, change plans, and supporting resources while coordinating with project teams, communications, learning, and business leaders. Tracks change impacts, risks, feedback, and lessons learned to improve methodologies and sustain effective adoption.

Build and enhance scalable end-to-end software applications using the .NET stack and modern web frameworks. Lead complex technical designs across application, interface, and data layers; troubleshoot production issues; collaborate with global cross-functional teams; improve engineering practices and delivery efficiency; champion quality, testing, performance, and maintainability; and mentor other engineers.

Develop and deploy machine learning, deep learning, and agentic AI systems for business and R&D challenges. Responsibilities include building AI agents with LLMs, RAG, memory, tools, and orchestration; leading end-to-end data science projects; creating predictive models and analytical solutions; developing scalable MLOps pipelines; deploying and monitoring production models; and communicating insights to clients.

Supports day-to-day Planview portfolio operations, including data quality, governance, licensing, user administration, issue triage, reporting, dashboards, documentation, and process improvement. The role coordinates integration errors and manual data updates, supports release testing and adoption, and serves as the primary user-support contact for planning and delivery workflows.

Supports logistics planning and execution across external manufacturing sites and warehouses. Resolves escalations, monitors production and order sequencing, manages SAP factory calendars and downtime plans, coordinates EDI integrations, and supports site start-ups, transitions, and exits. Trains and coaches sites on planning systems and business processes while leading process improvements and collaborating with manufacturing, logistics, technical, and supply chain teams.

Designs and delivers scalable SAP solutions across enterprise systems, including ABAP, S/4HANA, Fiori, ABAP Cloud, RAP, and integrations. Provides technical consultation, estimates and decomposes complex initiatives, coordinates developers, and ensures quality delivery. Mentors team members, leads SAP development standards and best practices, drives process improvements, and evaluates emerging SAP technologies. Requires broad functional knowledge across TM, MM, SD, and FI, along with extensive experience leading large-scale SAP implementations.

Drives sales growth for Walmart and club-channel customers through syndicated data analysis, sales reporting, trade planning, digital insights, and market performance evaluation. Maintains automated reporting, supports sales planning, identifies business opportunities, and recommends execution improvements. Manages multiple projects, ensures data quality, mentors team members, and builds stakeholder relationships through clear presentations and influential communication.

Leads AI and machine learning strategy, model development, technical explorations, and production deployment. Uses Vertex AI and MLOps practices to deliver scalable solutions, collaborates with business and engineering stakeholders, oversees the AI development lifecycle, manages model performance, mentors data scientists, and promotes AI literacy. Requires expertise in supervised learning, optimization, Python, SQL, GCP, and AI solution architecture.

Manage day-to-day contingent workforce program operations for India-based engagements. Serve as the operational subject matter expert, monitor KPIs and SLAs, ensure labor-law and policy compliance, resolve issues, support vendors and resource managers, analyze performance and cost savings, and recommend process improvements.

Leads the design and implementation of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, Airflow, and MLflow. Automates model deployment, monitoring, retraining, logging, and orchestration while establishing CI/CD, quality, and architecture standards. Provides production support, troubleshooting, optimization, and root cause analysis; partners with data science, engineering, and business teams; researches emerging technologies; and mentors engineers.