Top Tech Jobs & Startup Jobs in Mumbai

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Build and deploy production-ready generative and agentic AI solutions directly with customers. Responsibilities include translating business needs into technical solutions, rapidly prototyping, developing multi-agent systems and RAG architectures, deploying and optimizing scalable systems, troubleshooting performance and reliability issues, documenting field learnings, and contributing code and feedback to internal AI platforms. The role requires customer engagement, technical communication, continuous learning, and willingness to work on customer premises and travel as needed.

Develop and deploy Generative AI solutions, engage with customers, and integrate AI/ML into cloud environments, requiring strong expertise in AI technologies and hands-on experience.

Manage end-to-end payroll processing and ensure accurate, timely pay. Coordinate third-party payroll system implementations/upgrades, interpret pay policies, apply leaves/union rules, maintain compliance with federal/state regulations, and support offboarding and vendor relations.

Define target-state infrastructure architectures, roadmaps, governance, and transition plans across data center, cloud, hybrid, network, compute, storage, virtualization, containers and platform environments. Lead assessments, migrations, capacity planning, performance optimization, disaster recovery, security compliance, and vendor evaluations. Advise on modernization, automation, IaC, DevSecOps, SRE, FinOps, and AI-ready infrastructure. Support RFPs, executive presentations, and mentor junior architects while ensuring architecture alignment with business, regulatory, and operational requirements.

Embed with customers to scope, prototype, and deploy production-grade agentic and generative AI solutions. Own client relationships, technical direction, delivery, optimization, observability, and mentoring of FDE squads while contributing platform feedback and rapid prototypes to drive measurable business outcomes.