Top Artificial Intelligence Jobs in Bangalore

The AI Solutions Engineer is responsible for building, deploying, and monitoring machine learning models, collaborating with teams, and ensuring effective data workflows.

As an AI Engineer, you'll develop and deploy ML models, automate data pipelines, collaborate with specialists, and enhance AI solutions.

The role involves leading engineers in building and optimizing AI model pipelines, collaborating across teams, providing mentorship, and ensuring alignment on projects focused on generative AI.

The role involves driving AI/GenAI innovation in Software Quality Assurance, leading project development, data management, collaboration, and research in AI applications.

The role involves designing and developing software features for AI frameworks, optimizing deep learning workloads, and engaging with the open-source community.

The Senior Software Engineer will develop and deploy AI/ML solutions, manage projects independently, and contribute to the team in building innovative applications using various tools and frameworks.

As an AI Developer Evangelist at Couchbase, you will promote Couchbase technologies to developers, create content, and engage with the community through events and online platforms.

The Senior AI Solutions Engineer will design and implement AI solutions to enhance IT operations, develop AI workflows, provide technical guidance, and ensure efficient service delivery to clients.

The role involves defining AI integration best practices, architecting scalable AI models, and contributing to thought leadership in AI innovation.

Design and lead advanced AI/ML solutions implementation, optimize model performance, and collaborate across business units to integrate AI capabilities.

Design and deploy machine learning models and AI applications, optimize performance, collaborate with teams, and implement scalable solutions.

Develop machine learning algorithms for automotive applications, focusing on object detection, and integrating software in an Agile environment, while filing patents and enhancing workflows.

Lead AI-focused software design and development projects, collaborating with stakeholders to implement scalable solutions in enterprise applications, while mentoring teams on best practices in the AI domain.

The Principal AI Software Engineer will develop and implement algorithms for medical datasets analysis, focusing on machine learning and statistical evaluation while supervising junior team members and supporting deployment activities.

The AI Engineer will implement and scale large language models, optimize AI systems for production, collaborate on AI infrastructure, and ensure robust performance and safety measures.

The AI Researcher will advance research in large language models, develop algorithms, analyze datasets, collaborate on applications, publish findings, and mentor junior researchers.

Lead the design and development of AI solutions, focusing on ML models and algorithms for healthcare applications while mentoring junior team members.