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Top Software Engineer Jobs in Bengaluru, KA
The Senior LLM Engineer will create GenAI applications, develop RAG-based pipelines, optimize prompts, and scale applications for user and data needs. Responsibilities include effective utilization of various LLMs and engineering components essential for GenAI applications.
The Senior DevOps Engineer will develop, test, debug, and manage containerized applications on Kubernetes, design cloud infrastructure on AWS and Azure, enhance CI/CD pipelines, implement monitoring solutions, and maintain security practices. The role requires collaboration with development and operations teams and involves automation of infrastructure management.
Develop advanced and efficient algorithms, utilize statistical techniques, collaborate with stakeholders, assess emerging datasets and technologies.
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The Senior Product Engineer at ZS will collaborate with teams across various industries to create cloud-based solutions and maintain production-grade applications on Kubernetes. Responsibilities include automating cloud infrastructure deployment, managing CI/CD pipelines, and ensuring system security and compliance. Their work emphasizes leveraging AI and advanced analytics for innovative product development.
The Data Science Associate Consultant at ZS is responsible for designing, developing, and executing high-impact analytics solutions for complex data sets. Responsibilities include staying updated with the latest AI research, implementing advanced deep learning models, collaborating with cross-functional teams, contributing to research projects, developing algorithms, and integrating engineering principles into data science workflows.
As a Business Technology Solutions Associate, you will lead the development phase in implementing technology solutions, collaborate with teams for requirements gathering and testing, and use best practices to ensure the successful delivery of projects. You will develop custom solutions and drive user adoption during project rollouts.
The role involves working on AI products and client solutions, developing GenAI applications, collaborating with data scientists to design AI models, building ML platforms, and managing the ML lifecycle. The Specialist will also lead a team, mentor talent, and ensure technical robustness through design and code reviews.
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