Top Tech Jobs in Gurgaon

Manage and audit end-to-end IT infrastructure, including Windows and Linux servers, networking, virtualization, cloud platforms, security tools, backups, and disaster recovery. Troubleshoot incidents, perform root-cause analysis, support vulnerability remediation, maintain ITIL/ITSM processes, manage vendors and SLAs, and ensure infrastructure security, availability, compliance, and continuity. Maintain technical documentation and explore AI and automation opportunities for IT operations.

Build and maintain scalable data pipelines, BigQuery datasets, SQL transformations, and scheduled workflows supporting AI and machine learning products. Develop, deploy, and optimize machine learning models, forecasting systems, AI agents, RAG systems, and LLM applications. Collaborate with Product, Data, and Engineering teams to convert business problems into reliable production AI capabilities through quality data, strong engineering practices, model evaluation, and operational excellence.

Own product strategy, roadmap, discovery, design, and execution for credit and banking infrastructure. Build configurable products across lending, credit cards, BNPL, payments, and banking. Translate customer needs into scalable APIs, workflows, integrations, and data models while partnering with engineering, risk, compliance, and operations. Define metrics, manage trade-offs, support enterprise customers, and drive products from discovery through production and scale.

Develop and deploy generative AI, LLM, conversational AI, and autonomous agent applications. Build scalable AI pipelines, fine-tune foundation and deep learning models, integrate agentic workflows, and optimize model performance for production. Collaborate with data engineers on datasets and stay current with advances in GenAI, LLMs, RAG, multimodal learning, and MLOps.

Lead architecture and technical decision-making while remaining hands-on in development. Own projects end to end, build scalable and reliable systems, mentor engineers, contribute across frontend and backend development, and establish engineering processes for a fast-paced startup.

Maintain and configure Workday security, tenant settings, business processes, roles, groups, integrations, data visibility, SSO, and access controls. Perform EIB uploads, tenant migrations, data purging, logging, and mass operations. Resolve complex support issues, assess dependencies, manage incidents and changes, and advise stakeholders. Requires Workday security certification, knowledge of HR processes and another Workday module, ITIL expertise, customer support experience, and strong communication skills.

Supports data processing, transformation, pipeline development, infrastructure maintenance, data integration, quality, security, and analysis. Collaborates with data engineers and analysts on projects while developing expertise in data engineering practices and technologies.

Leads regional implementation and continuous improvement of the Group Compliance Programme, covering ethics, integrity, anti-bribery, investigations, third-party due diligence, risk management, governance, monitoring, audits, reporting, and regulatory compliance. The role promotes ethical culture through training and stakeholder engagement, maintains compliance risk registers, supports whistleblower and misconduct investigations, provides practical guidance to business leaders, and supports ISO 37001 readiness and certification.

Manages global supplier registration, onboarding, compliance reviews, categorization, approvals, and supplier master data. Supports procurement stakeholders, resolves onboarding and system issues, maintains documentation, assists with audits, and communicates with suppliers worldwide. The role also contributes to process improvements, procurement system enhancements, training materials, and efficient, compliant supplier administration.

Implement automation and RPA solutions for finance processes, configure vendor tools, develop Python and SQL scripts, support ETL and BI implementations, and deploy practical AI workflows. The role focuses on hands-on client delivery, data validation, reconciliations, documentation, reusable components, vendor evaluation, and stakeholder collaboration.