Top Artificial Intelligence Jobs in Bengaluru

The Solution Architect in Data & AI at ProArch will develop innovative solutions, support presales, provide technical expertise to delivery teams, and educate sales and marketing teams. Responsibilities include building MVPs, conducting workshops, and designing end-to-end solutions with a focus on AI, Data Engineering, and full-stack development.

As an AI Tech Lead Manager at Enterpret, you will lead a team in advanced AI research and innovation, oversee technical projects, mentor engineers, and drive customer-centric solutions. This role requires strong research expertise, leadership ambition, and a collaborative mindset to tackle complex problems and promote rapid experimentation.

The AI Generalist at Atlan will build analytics frameworks to measure AI impact, optimize operations, create dashboards for insights, and develop scalable data pipelines, driving data-driven decisions to enhance growth and customer value.

The Senior AI/ML Engineer develops machine learning models to solve business problems, focusing on deployment, integration, and performance optimization. Responsibilities include monitoring models in production, collaborating with teams, and staying updated on AI/ML advancements.

The Senior Consultant for AI & Automation will assess customer infrastructure and apps to identify improvements. They will design, develop, and implement automation solutions, create reusable automation scripts, and integrate AI and ML capabilities into workflows. Key responsibilities include developing machine learning models, collaborating with teams for automation opportunities, documenting processes, and training team members.

The Principal AI Software Engineer will develop and implement algorithms for analyzing medical datasets, particularly imaging data. Responsibilities include statistical evaluation of features and validation of results from other algorithms, while also providing training and support for team members.

Manage and lead a cross-functional team focused on developing and deploying computer vision and deep learning algorithms for AI-powered medical technologies. Responsibilities include overseeing research projects, mentoring team members, conducting code reviews, and fostering a culture of innovation and collaboration.

As an ML Ops Engineer, you will set up and support ML bot inference, build scalable clusters, establish CI/CD for ML solutions, and improve inference logic for machine learning tasks.

The Senior Consultant in AI & Automation will assess customer infrastructures to identify gaps and prepare automation solutions. Responsibilities include developing automation scripts, integrating AI and ML into workflows, training models, collaborating with IT operations, and enhancing internal tools. The role also involves documenting processes and providing training to team members.

The Subject Matter Expert in Data Analytics is responsible for delivering educational content, supporting students through grading, live chat, and video sessions, and ensuring quality assurance. They collaborate with mentors, provide feedback, and facilitate community support initiatives to enhance the learning experience.

The AI Research Engineer/Scientist will drive technology advancements in network workloads like Private 5G Networks, leveraging AI/ML for optimization. The role involves researching and developing system features, collaborating with academic and industry partners, and requires strong skills in systems software and networking.

The Senior Software Engineer will lead the development and deployment of AI/ML solutions, focusing on Generative AI applications. Responsibilities include designing and integrating various models, managing projects, and ensuring effective deployment on cloud platforms like AWS and Azure. Strong coding skills in Python and experience with Deep Learning essential.

The AI Engineer will design and build a conversational interface for Tellius’s analytics platform, focusing on enabling natural user interactions and integrating advanced AI models to enhance user experience through automated workflows.

The AI Solution Architect will engage with customers post-sales to implement AI solutions using the C3 AI Platform. Responsibilities include system integration, developing architecture, managing risks, and collaborating with internal teams, along with possible travel to customer sites. The role requires extensive experience in enterprise architecture and cloud technologies.

The Lead Consultant - AI & Automation is responsible for assessing customer infrastructure, designing and implementing automation solutions, and developing AI/ML models. The role involves collaborating with IT teams to prioritize automation projects, maintaining automation scripts, and contributing to internal tools and frameworks.

The Senior Consultant in AI & Automation will assess customer infrastructure to identify gaps, design and implement automation solutions, and integrate AI and ML into workflows. Responsibilities include developing automation scripts, working with large datasets, collaborating with IT teams to prioritize projects, and contributing to internal tools and frameworks. Continuous improvement in processes and troubleshooting automation systems are also key tasks.

The Consultant for AI & Automation will develop and maintain automation scripts using various scripting languages and automation platforms. Responsibilities include integrating AI capabilities into workflows, developing machine learning models, collaborating with IT teams for automation opportunities, and supporting the development of internal automation tools.