Top Artificial Intelligence Jobs in Hyderabad

As a Senior Manager, you will lead AI solution design, development, and management, collaborating with teams to create scalable web applications and APIs. You'll oversee project coordination, mentorship, and enforce coding standards while addressing customer needs and facilitating timely project delivery.

As a Software Engineer II, you will design, develop, and troubleshoot software solutions within the Data Services Team. Your responsibilities include writing secure code, analyzing large datasets, and contributing to the Software Development Life Cycle while learning and applying best practices in software engineering.

Lead the development of AI and automation solutions, mentor team members, optimize workflows, and ensure compliance in project deployment.

The AI/ML Developer will design and develop machine learning systems, implement related algorithms, and manage research aligned with AI strategies. Responsibilities include developing applications in Python, conducting tests, collaborating with teams on AI/ML solutions, and enhancing existing libraries and frameworks.

The Senior Manager AI & Data Engineering will lead and build a team focused on AI development and data engineering in healthcare technology. Responsibilities include overseeing the deployment of AI models, developing data processing pipelines, and ensuring the scalability and security of solutions. The role demands collaborating across teams to align AI initiatives with company objectives while staying updated with the latest AI trends.

As a Senior Software Engineer, you will design and implement advanced AI and machine learning solutions, collaborating with teams to integrate these technologies into products. Responsibilities include developing machine learning models, fine-tuning algorithms, and mentoring junior engineers, while focusing on innovative solutions that enhance user interactions and automate processes.

As a Software Engineer for Training AI Data, you will evaluate AI-generated code quality, solve coding problems, and write robust test cases. You'll work on various projects involving AI models as they learn to code, requiring 3+ years of software engineering experience, primarily focusing on Python and potentially other programming languages.

The Senior Software Engineer will design, develop, and troubleshoot software features, focusing on AI and machine learning. Responsibilities include optimizing designs, mentoring junior team members, and ensuring high-quality code and testing while managing multiple priorities.

As a Staff/Principal AI/ML Engineer at Micron, you will develop and maintain data analytics tools, oversee AI/ML project lifecycles, and collaborate with cross-functional teams to implement AI strategies. Key responsibilities include creating proof-of-concepts, managing ETL processes, enhancing automation tools, and ensuring software application functionality.

As a Data Scientist at Kyndryl, you will bridge business problems and innovative solutions using methodologies, statistics, and software engineering. You’ll analyze data for patterns, develop AI models, ensure data management, and promote data security and privacy. Your role includes deploying AI projects and collaborating with customers to drive data transformations, while continuously contributing to business understanding and change management.

The AI/ML Senior Engineer will develop generative AI tools, conduct research, and perform proof-of-concept work to validate AI models. They will collaborate with internal teams, integrate AI solutions, analyze data, and offer mentorship to junior members while staying updated on AI advancements.

The Product Architect - Digital & AI/ML is responsible for designing scalable product architecture within the AI & Digital Transformation group. They will integrate advanced optimization techniques and AI algorithms while leading product development from ideation to launch, ensuring seamless deployment across various platforms. This role requires strong programming skills, knowledge of quantitative finance, and collaboration with cross-functional teams to drive innovation in fintech solutions.

As a Senior Site Reliability Engineer at NVIDIA, you will design and implement GPU compute clusters, optimize operations, troubleshoot system failures, and enhance researcher productivity through automation. You will also handle incident responses and maintain large scale GPU infrastructure while collaborating within a diverse team.

The Senior Site Reliability Engineer will lead the design and implementation of GPU compute clusters for AI research, ensuring high reliability and performance. Responsibilities include optimizing cluster operations, troubleshooting system failures, automation, and maintaining deep learning workflows. The role emphasizes collaboration, problem-solving, and continuous improvement within a diverse team environment.

The Lead AI/ML - R&D will oversee the development of cutting-edge ML/AI solutions for research and development processes in the pharmaceutical domain. Responsibilities include managing data scientists, creating advanced models, ensuring best practices in data science, mentoring junior staff, and driving innovative AI projects. The role emphasizes collaboration with scientists and adapting to the rapidly evolving tech landscape.

The SAP AI Solutions Expert will drive AI initiatives within the SAP S/4HANA ecosystem. Responsibilities include integrating AI technologies, optimizing business processes, leading projects, and providing training. This role requires collaboration across teams, technical guidance, data management, and ensuring compliance with industry standards.

As a Software Engineer in the AI/ML team at Genesys, you will work on developing cloud-based digital experiences focusing on conversational AI. Your responsibilities include collaborating with cross-functional teams, enhancing AI capabilities, and optimizing algorithms related to chat and voice bots.