Top Artificial Intelligence Jobs in Pune

As a Principal Architect, you'll enhance architecture platforms, provide technology guidance, develop multi-year roadmaps, and champion diversity in a cloud-based environment.

The role involves designing and developing software solutions, maintaining production code, and improving system architecture within an agile team at JPMorgan Chase.

Develop and implement digital twin architectures for patient modeling, research AI innovations, mentor junior team members, and contribute to client solutions.

The AI Engineer II will support data acquisition, build and evaluate ML models, contribute to LLM workflows, and collaborate closely with senior team members to enhance AI capabilities in cybersecurity.

The Risk Reporting / Risk Governance Manager oversees risk management processes, develops risk reports, cleans data, and engages stakeholders to enhance decision-making quality.

Seeking a motivated Solution Consultant to provide Advanced Process Control solutions, support sales efforts, and optimize manufacturing processes with a focus on analytics.

Develop automation for Kubernetes clusters, manage network protocols, and collaborate with R&D teams in a fast-paced environment.

Develop and implement AI solutions for patient modeling, lead research initiatives in healthcare AI, mentor junior team members, and stay updated on healthcare trends.

The Senior AI Engineer will drive the development of ML solutions for security use cases, leveraging AWS for deployment and focusing on agentic AI and RAG pipelines while mentoring junior engineers.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

Lead and innovate AI solutions by designing next-gen systems, collaborating on product development, and mentoring teams to enhance AI integration.

The Staff AI Platform Engineer will lead the development of scalable AI platforms, build APIs, execute workflows for Large Language Models, deploy AI services, and mentor junior engineers.

The AI Client Manager audits AI Management Systems, preparing reports and collaborating with clients and teams to ensure regulatory compliance and quality service.

Lead the enterprise data, analytics, and AI architecture, aligning with business goals. Manage data governance and foster partnerships across teams to promote a data-driven culture.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

The role involves designing and developing scalable applications using .NET or Python, integrating AI systems, and optimizing performance for production AI systems.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

Join Autodesk's Fusion team to develop AI/ML features in Fusion 360 using C++ and Agile methodologies, ensuring high quality and performance in commercial software applications.

The Senior AI Engineer will develop and deploy AI solutions, ensuring scalability and ethical standards while collaborating with cross-functional teams.

Lead innovation and process improvements in testing, integrate AI into QA practices, perform automation scripting, and mentor Quality Engineers.

The MLOps Engineer will design and maintain cloud infrastructure for AI applications, manage deployments, and collaborate with developers to ensure production-ready systems.