Top Artificial Intelligence Jobs in Bangalore

Develop, deploy, and support enterprise-level software modules while ensuring design quality and technical architecture. Mentor teams and improve product features.

Seeking a Senior Cloud Support Engineer with expertise in Kubernetes and AI/ML to resolve complex customer challenges and design cloud solutions. Responsibilities include technical leadership, customer impact, organizational leadership, and mentoring junior engineers.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

Design and develop AI/ML platforms and IoT systems, troubleshoot software, optimize performance, and lead projects across devices. Collaborate with teams to translate ideas into actionable plans.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The AI Data Engineer will manage data pipelines, ensure data quality, and collaborate with AI Engineers to prepare datasets for machine learning, using tools like Azure and Power BI.

You will architect, design, develop, and deliver high-quality software in a fast-paced environment, handling distributed applications and collaborating with cross-functional teams.

As a Software Engineer in Test, design and implement distributed frameworks, build AI-driven tools, and ensure platform resilience through chaos experiments and telemetry pipelines.

The role involves defining and implementing QA policies and procedures, preparing test specifications, and guiding less experienced professionals. Requires designing, coding, and debugging test programs.

The Senior Python Developer will build scalable services, design server architecture, mentor junior engineers, and enhance automation processes.

The Senior Quality Engineer will enhance testing frameworks and tools, automate various testing methods, and work with cloud technologies to ensure high-quality software delivery in an AI-driven cybersecurity platform.

The role involves designing and developing backend services, mentoring junior developers, applying CI/CD practices, and collaborating with teams to solve complex cybersecurity challenges.

The role involves developing and enhancing ServiceNow applications, creating APIs and microservices, and leading custom integrations with third-party systems for GenAI solutions.

Design, develop, and maintain Java applications, lead a software team, collaborate on product requirements, and implement best practices in cybersecurity software development.

Design, develop, and maintain Java applications for cybersecurity, manage a software development team, and stay updated with industry trends.

The Senior QA Software Engineer - AI will design and implement test strategies for AI-driven solutions, develop automated testing frameworks, and mentor junior engineers while ensuring quality across software applications in legal, tax, and compliance domains.

The Senior AI SDET will develop AI features, ensure quality through automated testing, and manage the integration of AI tools in quality management, leveraging extensive coding and testing expertise.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

As a Principal GenAI Engineer, you will design and implement cloud-native AI systems, optimize performance, ensure reliability, and collaborate on ML models, while mentoring teams and establishing engineering standards.

The Principal AWS Cloud Engineer designs and optimizes secure AWS cloud solutions, ensures compliance, leads architecture initiatives, and mentors engineering teams.

The Engineering Manager, AI Solutions will build and lead a high-performing engineering team while ensuring predictable delivery and fostering team development.

The Engineering Manager leads a development team to deliver complex software features, manages risks, and ensures collaboration across teams. Requires strong leadership and technical skills in data science and AI.

The AI-Enabled Engineering Leader will implement AI practices to enhance developer experience, delivery speed, and software quality across Scrum teams, while leading initiatives in AI usage throughout the SDLC.