Top Artificial Intelligence Jobs in Bengaluru

The Software Engineer will work with the AI Services team to build applications and APIs leveraging AI technologies. Responsibilities include understanding product requirements, participating in code reviews, writing automated tests, ensuring compliance with best practices, and collaborating with team members to enhance software systems.

As an Analytics Solutions Manager - Applied AI/ML, you will lead the design and implementation of AI/ML solutions in the AWM Risk Management team, driving innovation and strategic alignment. Your responsibilities include developing scalable models, mentoring data scientists, and collaborating with cross-functional teams to integrate AI capabilities and enhance decision-making processes.

As a Senior Associate Full Stack AI Developer, you will scope and coordinate activities with product owners, design data mining queries, and transform business problems into solutions using AI technologies. You will also assist end users in analyzing data and employ scaling and automation techniques for data preparation.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.

As a Sr. AI/ML Engineer, you'll work on developing AI-driven capabilities and tools for secure application development at Visa. Responsibilities include creating scalable RESTful services, evaluating large language models, fine-tuning machine learning models, and implementing security measures while collaborating with cross-functional teams.

The Senior AI Engineer at Skypoint will develop and deploy Generative AI models for healthcare and financial services, collaborate on AI systems and MLOps pipelines, mentor team members, and manage the technical roadmap. The ideal candidate will possess strong programming skills and extensive experience in machine learning frameworks.

As a Sr. AI Engineer at Target, you will develop state-of-the-art predictive algorithms, manage data exploration and pipelining, and optimize model latency. Your role involves deploying Machine Learning algorithms into production, collaborating with cross-functional teams, and using Big Data technologies while utilizing strong programming skills in Scala and Python to drive retail data solutions.

Collaborate with multi-functional teams to translate business requirements into technical specifications, while designing, developing, and maintaining software applications using Java and Python. Implement microservices architecture and deploy applications on cloud platforms like AWS and Azure. Develop RESTful APIs and ensure high-quality code with comprehensive test coverage.

As a Gen AI Engineer, you will lead projects related to Generative AI, developing models and systems that enhance supply chain processes. Collaborating with teams, you'll create AI solutions utilizing large datasets and machine learning pipelines, driving innovation in real-world applications. This role demands a passion for cutting-edge technology and a solid foundation in machine learning and deep learning methodologies.

The Staff Engineer will develop AI solutions across various business units at Thermo Fisher. Responsibilities include designing, developing, and maintaining software with Java, implementing microservices architecture, creating RESTful APIs, collaborating on AI projects, and following TDD practices. The role demands strong ownership and contribution to scrum teams.

The Automation AI Engineer will design, implement, and maintain AI and ML solutions aimed at improving customer experience and operational efficiency. Responsibilities include developing machine learning models, maintaining data pipelines, optimizing model performance, and creating chatbots. The role requires collaboration with cross-functional teams and providing mentorship to other team members.

The role involves designing and implementing artificial intelligence and machine learning solutions to enhance customer experience and operational efficiency. Responsibilities include developing machine learning models, maintaining data pipelines, optimizing model performance, and providing technical guidance to teams. Additionally, the candidate will work on conversational AI, integrating third-party systems, and documenting technical processes.

As an AI Platform Engineer, you will build scalable AI platforms, design ML pipelines, serve as an SME for LLM serving paradigms, and fine-tune models for optimized performance. You will also engage in DevOps practices and ensure reliability and scalability of AI solutions for business needs.

Design, implement, and maintain AI and machine learning solutions. Collaborate with teams to prototype and optimize models for customer experience. Maintain technical documentation and provide mentorship to data engineering and software teams.

The Principal AI Architect will design, develop, and deploy generative AI solutions at GE Healthcare, ensuring they align with strategic goals. The role involves architectural design, infrastructure implementation, and mentorship of engineers and data scientists, while also enforcing AI governance and best practices.

The Staff AI Scientist will address statistical and machine learning challenges in healthcare, focusing on developing and deploying modern machine learning methods, including generative models and algorithms for clinical automation. The role involves building prototypes, evaluating AI effectiveness, and proposing innovative algorithms.

The Staff AI Scientist at GE Healthcare will develop AI models for healthcare applications, work with complex medical datasets, and collaborate with cross-disciplinary teams to translate algorithms into viable products. Responsibilities include data quality assessment, developing research prototypes, and generating documentation for communication and archiving.