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Maintain and optimize production ML/algorithm services: debug, profile and tune for CPU/memory/I/O, add regression tests, implement parallelism, build and maintain REST APIs (Django/DRF or FastAPI), benchmark scalability and costs, ensure high code quality (tests, CI/CD, docs), and collaborate with product/data/QA to meet SLAs.

Support month-end close, raise and post sales invoices, maintain and reconcile general ledger and intercompany activity, manage customer projects and timesheets, monitor collections, reconcile payroll and revenue, and provide ad hoc accounting support for the Mumbai office and group entities.

Lead and grow a platform/DevOps/SRE team to design, build, and operate cloud-native MLOps and developer platforms. Own platform product roadmaps, IaC, Kubernetes, CI/CD, observability, cost optimization, and developer enablement to support ML, data, and application teams.

Lead and supervise a global hybrid L1/L2 IT helpdesk while performing hands-on resolution of complex incidents, supporting VIP users, managing MDM and device fleets, improving knowledgebase and processes, and coordinating cross-region deployments and IT migrations.

Lead architecture, development, and deployment of GenAI backend systems (LLMs, RAG, agentic workflows). Build scalable microservices, data pipelines, and cloud-native deployments (AWS/Azure/GCP) using Docker, Kubernetes, and Terraform. Ensure production readiness, monitoring, cost control, and security; collaborate with data scientists, mentor engineers, and engage in client-facing consulting and technical leadership.

Lead and grow a cross-functional AI platforms team to productionize LLM-based solutions. Own platform roadmap, architecture, MLOps pipelines, vector DB integrations, security/compliance, and cross-functional alignment to deliver scalable, reliable GenAI services.

Lead end-to-end transformation and change-management programmes for clients, developing change strategies, stakeholder engagement, readiness assessments, governance and roadmaps; manage workstreams, budgets and benefits realisation; build client change capability, mentor junior consultants, support business development and contribute to internal knowledge and recruiting.

Lead AI-focused business transformation for energy, transportation, and industrial clients: identify high-impact AI use cases, build roadmaps, drive change management and governance, coordinate with technical teams to move pilots to production, measure adoption and impact, and mentor junior consultants.

Lead planning and execution of large-scale, integrated marketing campaigns across social, web, paid, content, and emerging platforms. Serve as client partner, mentor project teams, manage budgets and resource allocation, ensure on-time delivery, and drive strategic decisions to meet business outcomes and profitability goals.

Work with luxury, FMCG and retail clients to define and deliver strategy and transformation initiatives across brand, product, marketing, commerce and operations. Conduct qualitative and quantitative analysis, support omnichannel and CRM transformations, leverage AI and data tools, co-create recommendations, and work in agile, client-facing teams often engaging C-level stakeholders.