Top Tech Jobs & Startup Jobs in Delhi

The Custom Software Engineer develops tailored software solutions, enhances system components, collaborates with teams, and supports junior members, utilizing agile practices.

As a Custom Software Engineer, you'll develop and enhance custom software solutions, collaborate with teams, and code using agile methodologies while addressing business needs.

Design, build, and support end-to-end features from UI to backend for laboratory systems. Provide application support, incident handling, service requests, and basic configuration for COTS LIMS (e.g., SampleManager, LabWare, Chromeleon) in chemical lab environments, using cloud-first and agile practices.

Design and deliver technology architectures for platforms or products, defining scalable, high-performance solutions. Act as SME, lead teams, drive cross-team decisions, integrate complex systems, evaluate emerging technologies, and mentor staff to ensure architectural consistency and alignment with business objectives.

Deliver custom software QA and testing for automotive digital cockpit solutions: triage defects, perform functional testing and log analysis (DLT Viewer), manage defects in JIRA/Rally, support CI/CD (Jenkins/Gerrit), provide stakeholder reports, and work in Agile multi-vendor teams.

The Custom Software Engineer will develop custom software solutions, collaborate with teams, and implement enhancements while utilizing Reltio and modern frameworks.

The Custom Software Engineer will lead Oracle Utilities WAM projects, manage teams, ensure solution delivery, and align with industry standards.

Lead Data & AI initiatives for the India Market Unit by translating business priorities into governed data assets, high-quality insights, and scalable ML solutions. Own data standards, quality, lineage, modeling, and query governance. Partner with stakeholders and governance teams, deploy predictive models on cloud platforms, and drive analytics across sales, marketing, and supply chain.

Designs and delivers production-ready AI/ML applications with emphasis on computer vision and image processing. Integrates GenAI models, neural networks, and cloud or on‑prem pipelines. Acts as SME, leads and mentors teams, collaborates across groups, and drives cross-team technical decisions and process improvements.

Designs and develops production-ready AI solutions with emphasis on computer vision and image processing. Integrates GenAI and cloud AI services, architects and optimizes neural networks, leads teams, makes cross-team technical decisions, and mentors engineers to improve processes and delivery.