Top Tech Jobs in Gurgaon

Lead and execute the AI roadmap: architect, train, and optimize LLMs, GANs, CV and NLP models; build scalable MLOps pipelines; deploy models to cloud; and hire, mentor, and coordinate an AI engineering team with product and business stakeholders.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Configure and maintain Kinaxis RapidResponse for end-to-end supply chain planning: design, build, test, and deploy workbooks, alerts, scripts, dashboards and integrations; support users, troubleshoot analytics, and assist with releases and data integrations.

Design, build, and maintain ETL pipelines, data warehouses, and dashboards. Develop and optimize complex SQL, ensure data quality and integrity, work with Oracle databases and NetSuite, collaborate with stakeholders, document pipelines, and support performance tuning and issue resolution.

Develop, evaluate, and productionize ML models (demand, conversion, forecasting, personalization). Build scalable AWS-based ML pipelines, design experiments (A/B tests, bandits), and translate results into business recommendations while contributing to code quality and team collaboration.

Lead QA for enterprise LLM, RAG, and AI agent applications: design benchmarks, build automated evaluation and observability pipelines, validate retrieval and agent workflows, implement Python/Pytest automation, create Playwright UI tests, integrate quality gates into CI/CD, perform performance validation and root cause analysis to ensure production readiness.

Design, build, and maintain scalable Java Spring Boot backend microservices integrated with blockchain/Web3 infrastructure. Develop REST APIs, event-driven systems (Kafka/JMS), SQL/NoSQL data stores, and containerized cloud deployments (Kubernetes). Ensure performance, security, and reliability while collaborating with cross-functional teams in Agile environments.

Lead requirements elicitation and translate complex business needs into functional specifications for CRM solutions. Partner with stakeholders and technical teams to design Dynamics 365 Customer Service and Field Service solutions, support Agile ceremonies, facilitate UAT, perform impact analysis, and drive process improvements within manufacturing and service operations.

Lead internal consulting and assurance reviews for Merchant Payments: evaluate business logic, P&L impact, processes, and compliance. Deliver end-to-end diagnostic and improvement projects, produce executive-ready outputs, and partner with Product, Ops, Compliance, Tech, and Business stakeholders.

The Software Engineer will handle data collection for AI model training, manage the ingestion pipeline on GCP, collaborate with scientists, and enhance data processing capabilities.