Top Artificial Intelligence Jobs in Bangalore

As a Software Engineer III, you will design and deliver technology products, implement solutions, and improve software applications through data analysis, while contributing to an inclusive team culture.

As a Software Engineer III, you'll design and deliver software solutions, troubleshoot technical issues, and improve software hygiene within an agile team.

The Principal Software Engineer develops scalable coding frameworks, reviews code, advises teams, and leads product development with a focus on innovative technological solutions.

As an Experienced Software Engineer, you will design and develop scalable systems using Java or Python, ensuring code quality and performance improvements while collaborating with agile teams.

The Python & AI/ML Developer will lead automation and solutions development for operations, analyze processes, and implement improvements utilizing Python and AI/ML tools.

Lead the development and architecture of scalable GenAI platforms, mentor engineers, and collaborate with teams to integrate AI solutions.

As a GenAI Engineer, you'll integrate generative AI technologies into product development, collaborate with teams, and document progress for powertrain solutions.

Designs, develops, and maintains software applications while collaborating with cross-functional teams and improving software performance through testing and automation.

As a Software Engineer III, you will design and deliver AI-driven software solutions, lead technical efforts, and collaborate across teams while mentoring others.

Lead the design and deployment of AI/ML solutions, architect application integrations, analyze data, and mentor junior engineers in a customer-oriented role.

As a Software Engineer III, you'll design and deliver ML technology products, implement AI solutions, and maintain production-level code while supporting the firm's goals.

Lead the UEFI Firmware design and development, mentor team members, and oversee the full software development life cycle with an agile team.

Lead and grow multiple engineering teams to develop data platforms and services, enforce engineering excellence, and align strategic initiatives with business goals.

As a Quality Assurance Engineer, you will develop testing solutions, lead projects, and ensure quality in software applications, collaborating with cross-functional teams.

As a Senior Software Developer, you will architect, develop, and maintain software solutions using Java, Python, and AI technologies. You will lead a team, integrate advanced AI capabilities, and collaborate with various teams to drive efficiency and innovation in products.

Develop software solutions utilizing Elastic Stack and Kubernetes on Azure, support CI/CD pipelines, and monitor services with observability tools.

Design and develop cloud-native data platforms and analytics SaaS services, focusing on scalable microservices and real-time systems. Ensure CI/CD and maintain data security.

As a Software Engineer, you will design and implement CI/CD pipelines, develop platform services, and monitor system performances for public safety solutions.

The Staff Technical Solutions Engineer provides deep technical solutions for Apache Spark issues, guiding customers in using Databricks effectively and troubleshooting complex problems.

The Software Engineer role at Visa involves designing, coding, and testing software solutions using Java, collaborating in Agile teams, and contributing to robust payment technology products.

Lead the design and implementation of AI systems, including LLMs and agentic workflows. Drive initiatives, mentor teams, and ensure solution scalability and performance.

The role involves developing AI performance tools for large-scale systems, conducting performance studies, and automating performance analysis for optimization.

Seeking a Senior Software Technologist with 10-13 years of development experience, expertise in various programming languages, and effective collaboration skills.

The Associate AI Applications Engineer aids in integrating AI capabilities into production, focusing on engineering tasks for deployments and ensuring reliable performance. Responsibilities include collaboration with teams, applying CI/CD practices, and engaging in the software delivery lifecycle.

The AI Performance Architect will benchmark AI workloads, analyze system performance, and improve efficiencies using AI methodologies and parallelization techniques.