Top Artificial Intelligence Jobs in Bangalore

Lead a team to develop AI-driven proactive defense systems and frameworks for fraud detection and anomaly detection, leveraging machine learning and automation.

As a Senior Data Engineer, you will develop data pipelines for cybersecurity products, collaborating with Security Researchers and optimizing ETL/ELT jobs using big data technologies and cloud-native infrastructure.

Seeking an experienced Backend engineer to design and optimize scalable systems for AI projects, handling large graph datasets in real-time.

The Senior Generative AI Software Architect leads the design of scalable AI systems, collaborates with stakeholders, ensures integration, and mentors teams to leverage generative AI technologies.

Develop and improve applications based on client needs, design and write code, perform testing, and communicate with stakeholders. Collaborate on software solutions to optimize performance, while ensuring functionality and client satisfaction.

The AI Data Engineer will design and maintain data pipelines, develop software applications, and implement front-end solutions for data visualization, ensuring data quality and integrity while collaborating on analytics and reporting requirements.

The Senior Engineer will develop and optimize prompts for LLMs, collaborating with domain experts, while integrating solutions and building a prompt engineering framework.

The role involves developing AI-driven Copilot agents, administering Microsoft 365 services, enforcing governance, managing compliance, and enhancing employee productivity using modern workplace technologies.

Develop and scale ML and LLM systems, build automated AI testing frameworks, and collaborate with teams on AI capabilities.

The Senior AI Engineer will develop scalable AI/ML systems for data quality improvement and entity resolution, collaborating with cross-functional teams.

As a Computer Scientist 2 at Adobe, you'll develop Python-based backend services for AI applications, optimize AI/ML models, build data pipelines, and ensure system reliability in a cloud-native environment.

As an Engineering Intern, contribute to AI-driven projects using Java, Spring Boot, and various technologies while learning Agile processes and cloud-native development.

Lead cross-platform initiatives and technical projects, guiding teams and driving innovation in software delivery. Mentor engineers and ensure alignment with strategic goals.

Develop backend systems, focusing on Generative AI and machine learning for software delivery. Tasks include feature design, implementation, and collaboration with teams to enhance automation solutions.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

The role involves designing and building scalable systems using Java, Python, and Angular, leading technical decisions, and improving CI/CD processes.

Lead multiple software engineering teams, drive technical strategy, manage software development lifecycle, promote innovation, and ensure compliance with best practices.

Guide technical evaluations and sales processes as a Solutions Architect, focusing on data engineering, AI, and big data solutions with Databricks.

The Sr. Solutions Engineer will advise on big data and AI solutions, lead client presentations, and support project integrations using Databricks.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

The DevOps AI Engineer will build and manage scalable DevOps pipelines using Azure, handle AI system deployments, and collaborate with AI and software teams for high-availability solutions.

As a Principal QA Engineer, you'll ensure quality and security of AI services, design testing frameworks, and mentor junior testers in a collaborative Scrum team.

Design, build, and maintain scalable data pipelines for analysis using AI tools. Conduct analysis, optimize ETL processes, and create visualizations in Tableau.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Principal Core Services Engineer will develop AI-enabled cloud solutions, optimize core services, automate operations, and drive platform resilience in a multi-cloud environment.