Top Tech Jobs & Startup Jobs in Pune

Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.

Manage customer-facing communications for Cross-Border Services, triage inquiries via shared mailboxes and ticketing systems, draft and publish compliant messages, track feedback, maintain documentation and content lifecycle, and collaborate with product, technical, and regional teams to improve communication quality and customer experience.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

The Lead Software Engineer is responsible for information security, adhering to policies, and ensuring secure access to Mastercard's digital payment systems.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

As a Senior Technical Program Manager, you'll collaborate with engineers to develop B2B payment solutions, managing projects from inception to completion and ensuring effective communication across teams.

Design, develop, test, and deliver software solutions using Mastercard standards. Lead SDLC activities, mentor team members, handle production incidents and on-call support, coordinate offshore/vendor resources, perform PoCs, and promote QA and security processes.

Design, build, and maintain scalable batch and near-real-time data pipelines and curated datasets. Enable ML-ready feature datasets, implement reliability patterns, ensure secure data handling and governance, and drive engineering best practices in collaboration with data science, platform, and BI stakeholders.

Responsible for leading high-quality software development for payment applications using Java, Spring Boot, and AWS, focusing on digital payments solutions.

Owns commercial product outcomes across the lifecycle: strategy, market analysis, pricing, commercialization and GTM. Partners with engineering, program management, finance, legal and operations to build roadmaps, deliver cloud-enabled products, produce documentation and enable sales. Operates independently in a fast-paced, cross-functional environment, driving customer-focused product launches and scaling.