Top Artificial Intelligence Jobs in India
The Senior Product Manager will lead the development and adoption of AI/ML capabilities at ResMed, overseeing the entire lifecycle from data preparation to model deployment. This role requires strategic vision, stakeholder collaboration, and end-to-end product management to enhance AI/ML platform features and deliver robust solutions within regulatory frameworks.
As a Principal Scientist at Adobe Research, you will drive innovative AI research and technology development, publish findings in top academic venues, and collaborate with global universities. Responsibilities include designing, developing, and prototyping AI discoveries to enhance Adobe's products.
As a Product Owner, you will orchestrate product success by collaborating with agile teams, ensuring the fulfillment of customer requirements, and managing the product backlog while aligning with stakeholders to maximize product value in AI-based Video Perception.
As a Product Owner in the Gen AI domain, you will lead platforms and services for Generative AI across the organization, ensuring they meet customer needs. You'll own the product roadmap and collaborate with the Group Practice Lead to guarantee customer success. You should possess a strong software engineering background and a passion for leveraging cutting-edge technology to solve problems.
The Staff ML Engineer will design and build AI/ML solutions, develop machine learning pipelines, and enhance product performance. Responsibilities include writing efficient code, managing project risks, and collaborating with technical teams to deliver high-quality solutions.
The role involves developing and implementing advanced machine learning algorithms for automating clinical tasks, conducting statistical analysis on algorithm accuracy, exploring human feedback mechanisms, and creating prototypes of scalable AI algorithms using large healthcare datasets.
The Staff AI Scientist at GE HealthCare will focus on developing and implementing novel machine learning algorithms in the area of LLM to automate clinical tasks using medical images, electronic medical records, waveforms, and clinical reports. Responsibilities also include exploring human feedback for AI learning, prototyping high-performance AI algorithms, developing new deep learning capabilities, and working with large-scale datasets.
Principal AI Architect responsible for designing, developing, and deploying generative AI solutions aligned with business objectives. Collaborate with cross-functional teams to drive innovation and ensure successful AI implementation. Architect scalable AI models and systems, establish best practices for ethical AI use, and stay abreast of advancements in AI technologies.
As a Staff AI Engineer, responsible for bridging the gap between AI science and production, optimizing, packaging, deploying, monitoring, and maintaining machine learning models. Collaborating with AI scientists, designing infrastructure, implementing CI/CD pipelines, monitoring model performance, managing data, ensuring security and compliance, documenting processes, and collaborating effectively with cross-functional teams.
The Senior AI Scientist will work in teams developing AI models for Healthcare applications in a commercial research and development environment. Responsibilities include developing AI models, research prototypes, data quality assessment, collaborating with software developers, and sharing findings with the team.
The Staff AI Scientist at GE HealthCare will work on developing and implementing novel machine learning algorithms in the area of LLM for automation of clinical tasks. Responsibilities include building prototypes, exploring human feedback, and staying current with AI technologies. Candidates must have a Master's Degree in a STEM field with 5 years of AI development experience or a Ph.D. with 3 years of AI development experience. Strong expertise in generative AI models and implementation experience in Python and C++ are required.
The Cloud DevOps Engineer is responsible for creating, scheduling, and managing cloud infrastructure services, and implementing CI/CD pipelines. They will provision serverless services on AWS and Azure, create CloudFormation and Bicep templates, optimize search solutions, and collaborate with various teams to improve DevOps practices and toolchain.
As a Senior Software Engineer, you will drive the development of an AI Code Assistant, focusing on feature design, implementation, and working with integrations across AI and cloud systems. You will collaborate with various teams to create scalable AI services and automate developers' tasks through a Generative AI-powered agent.
The Senior Software Engineer (AI/ML Engineer) will develop AI and ML solutions, design machine learning models for applications, preprocess data, evaluate model performance, and utilize cloud platforms while ensuring robust software engineering practices.
The AI Solution Engineer will design, develop, and deploy AI solutions to address business challenges using Automation Anywhere's products and technologies. Responsibilities include monitoring AI solution performance, managing compliance and security, documenting designs, and collaborating across teams.
Responsible for developing and implementing advanced AI and speech recognition technologies, optimizing LLMs, conducting data analysis, and collaborating with cross-functional teams for product enhancement.
The AI/Machine Learning Engineer will contribute to building Genesys core AI capabilities such as Speech Understanding and Natural Language Understanding. Responsibilities include creating NLP models, prototyping, coding benchmarks, and collaborating with cross-functional teams to enhance AI Platform Services.
The Predictive Analytics / AI Design Sr. Manager leads a team to develop and implement predictive models and AI solutions within the finance sector. They ensure the accuracy and relevance of predictive analytics, translate business needs into analytical projects, and drive improvements in model performance and decision-making processes. This role involves collaborating with various stakeholders and overseeing the training of end-users in using advanced analytics tools.
The AI Prompt Engineer will leverage large language models to enhance investment outcomes and efficiency, train colleagues on LLM tools, design and refine prompts, monitor AI performance, and analyze large datasets to derive insights. They assist in improving AI-generated content through experimentation and best practices in prompt engineering.
The Senior Systems Software Engineer will focus on optimizing AI models and data processing for Windows PCs, collaborating with teams across NVIDIA to enhance GPU performance for AI applications and ensuring effective deployment of automated testing.
Architect, design, implement, test, and deliver highly scalable AI products into the hands of customers. Drive software architecture and enterprise capabilities. Analyze product strategy and technical feasibility. Act as subject matter expert for multiple products and troubleshoot complex production issues.
Transform proof-of-concept AI/ML projects into full-scale production applications. Collaborate with cross-functional teams to develop and deploy scalable machine learning models, integrate diverse data sources, and optimize performance while ensuring code quality and maintaining systems.
The SAP AI Solutions Expert will drive AI initiatives to enhance SAP-based processes, develop and integrate AI solutions within SAP S/4HANA, optimize business workflows, and lead related projects. Responsibilities include providing technical guidance, data management, system customization, project oversight, training, and ensuring compliance with standards and security measures.
Join the AI Developer Assistant team as a Senior Software Engineer, focusing on developing a Generative AI-powered agent to automate developer tasks. Responsibilities include designing and implementing features, developing integrations with AI and cloud systems, and collaborating across teams for scalable AI services.
This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.
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