Top Tech Jobs in Gurgaon

Generate leads through market visits, referrals, and provided data; build relationships with retailers, distributors, and vendors; promote beauty and cosmetic products; conduct sampling and promotional activities; support launches; close business deals; track sales performance; prepare MIS reports; and share market and campaign insights. The role is retail-store based with regular local field visits within the assigned territory.

Partners with HR teams to analyze hire-to-retire processes, define technology requirements, and deliver Workday, automation, and AI solutions. Builds Claude-based applications, n8n and UiPath workflows, Python automations, integrations, service desks, and Rovo Agents. Leads HR technology initiatives through design, testing, implementation, and continuous improvement while ensuring secure access, governance, and protection of sensitive HR data across global teams.

Develop and deploy governed low-code AI applications, agents, workflows, and integrations using Microsoft Power Platform and AI services. Apply prompt engineering, RAG, testing, documentation, security, privacy, and responsible AI practices. Collaborate with process designers, product owners, subject-matter experts, and IT teams to deliver scalable solutions, support deployments, monitor usage, and maintain released applications.

Analyze business problems using statistical, econometric, optimization, and machine learning models. Develop new models and simulation tools, perform advanced data analysis, translate business requirements into analytical solutions, and support end-to-end project implementation. Collaborate with internal and external stakeholders while managing project timelines, quality, and deliverables in the pharmaceutical analytics domain.

Develop iOS applications for consumer and enterprise products. Lead major feature development, write maintainable and performant Swift code, mentor developers, participate in code reviews and testing, research tools, and collaborate with designers, project managers, and cross-platform teams.

Prepare, analyze, reconcile, and distribute financial and operational reports for private equity funds. Responsibilities include generating Investran reports, processing partner transfers and journal entries, preparing quarterly financial statements, expenses, FX contracts, and management fee reports, reconciling balances, ensuring regulatory accuracy, and collaborating with investment and internal teams on fund performance reporting.

Develop and apply analytical models to help utility clients solve business problems, optimize operations, and realize value from AiDASH products. Collaborate with clients, engagement managers, and R&D teams to structure problems for AI solutions, generate data-driven insights, and present findings, recommendations, and business impact. The role also requires independent project delivery, innovative problem-solving, and strong communication.

Build, integrate, deploy, troubleshoot, and optimize production generative AI, RAG, agentic AI, and voice AI solutions. Develop Python backend services, APIs, RAG pipelines, conversational systems, and enterprise integrations. Work directly with customers to translate business needs into technical solutions, taking applications from proof of concept to scalable production deployments across cloud, on-premises, and customer environments.

Plan and execute QA activities across releases, creating test plans, scenarios, cases, and data. Perform functional, regression, integration, API, database, and end-to-end testing using Postman and SQL/PostgreSQL. Track defects, validate releases, analyze production issues, collaborate with cross-functional technical teams, improve QA processes and automation, and mentor junior QA staff.

Manage private fund accounting client implementations, including requirements gathering, fund structure and workflow review, data mapping, transformation, loading, reconciliation, investor allocations, and NAV/GAV calculations. Collaborate with project management, technology, and client stakeholders to onboard private capital markets data onto Arcesium’s platform, support bespoke reporting and testing, and improve implementation tools.