Top Artificial Intelligence Jobs in Pune

The Full Stack Application Modernization Architect at Kyndryl will lead and mentor application modernization projects, focusing on software design, development, and modernization. Responsibilities include engaging with clients, defining modernization approaches, providing architectural leadership, and utilizing AI technologies. This role requires extensive experience in cloud native environments and leading delivery teams.

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 Staff Engineer (QA Automation) will develop and maintain automation testing frameworks using Selenium and Python, focusing on Gen AI applications. Responsibilities include reviewing requirements, creating test cases, executing tests, logging defects, and aiding in release activities.

The AI Automation Developer will lead the development of AI solutions to improve business operations. Responsibilities include implementing scalable AI models, conducting PoCs, assessing AI frameworks, ensuring data privacy, and collaborating with cross-functional teams to deliver innovative solutions.

As a Senior Deep Learning Systems Software Engineer at NVIDIA, you will optimize deep learning workloads on GPUs, develop automation tools for workload analysis, and collaborate with teams to enhance application performance across cloud and hardware platforms. Responsibilities include performance benchmarking, identifying inefficiencies in application code, and providing expertise in cloud-native application optimizations.

As a Senior Software Engineer at NVIDIA, you will architect and optimize low latency conversational AI systems, design dialog workflows, analyze system accuracies, collaborate on product improvements, and develop code and design documents, all while leveraging your extensive experience in speech technologies and LLM applications.

The AI Developer Technology Engineer will study and develop deep learning techniques, optimize performance on GPU architectures, and collaborate with teams to influence new architectures and solutions for AI using GPUs.

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 role involves building enterprise-grade GenAI solutions for client deployment, focusing on ML project development, model deployment at scale, and engineering skills necessary for GenAI applications. Key responsibilities include data ingestion, leveraging LLMs, implementing RAG and prompt engineering, and monitoring ML model performance.

The Senior Software Engineer will architect and develop scalable AI/ML systems, mentor team members, ensure compliance with industry standards, collaborate with researchers to produce production-ready models, and stay updated on AI/ML advancements.

The Lead Software Engineer will provide technical vision and leadership, oversee software delivery tasks, drive integration of services, mentor team members, and explore new technologies while ensuring code quality and adhering to technology standards.

As a Software Quality Senior Engineer, you will lead testing efforts for sophisticated systems, work collaboratively within Agile teams, mentor junior testers, and ensure high software quality through automated testing and quality assurance practices.

The Senior Consultant in AI & Automation will design solutions for IT operations and business process automation, assess automation opportunities, and collaborate with various teams for effective solution consulting. Responsibilities include tool identification for AI solutions, proposal defense, customer interactions, and creating demo case studies. Extensive experience in IT operations and strong communication skills are essential.

The Senior Consultant in AI & Automation will design solutions for IT Operations and business process automation, assess automation opportunities, and contribute to solution consulting and proposal defense. Responsibilities include working with tools and platforms for AI & Automation solutions, collaborating with stakeholders, and engaging in technical discussions and demos.

The consultant will assess customer infrastructures and business processes, develop automation solutions using scripting languages, and integrate AI and ML capabilities. They will handle large datasets for model training, collaborate with IT teams, contribute to automation tools, and document all processes. Additionally, they will identify continuous improvement opportunities and provide training to team members.

The Senior Consultant will assess customer infrastructures to identify gaps, develop and implement automation solutions, and integrate AI/ML capabilities into workflows. Responsibilities include creating automation scripts, collaborating with IT teams, and delivering continuous service improvements.