Top Tech Jobs in Gurgaon

Work on machine learning research and prototypes: analyze algorithms on large datasets, design experiments, prepare and clean data for modeling, and implement scalable AI system prototypes under senior guidance.

Work on real-world data science projects using machine learning, statistics, experiments, and data exploration. Collaborate with stakeholders, produce actionable insights, validate analyses, participate in peer review, and iterate to improve products impacting millions of customers.

Lead full-chip and package integration for DPU ASICs from early planning through tapeout signoff. Drive die/floorplanning, C4/microbump and RDL optimization, power domain management, vendor collaboration, integration milestones, and resolve power/integration issues across teams.

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.

Design, build, and optimize CI/CD pipelines; manage build and release processes for .NET and embedded software; troubleshoot deployments; drive DevOps automation and best practices; partner with global engineering teams to improve development efficiency and track metrics.