Top Artificial Intelligence Jobs in Pune

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.

The AI/ML Scientist will design, implement, and validate machine learning models while conducting data analysis to support strategic decisions. Responsibilities include leveraging advanced AI techniques and collaborating with teams to deliver scalable solutions that meet business objectives.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

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 Senior AI/ML Engineer focuses on developing digital twin simulations and optimization models to enhance warehouse logistics and operational efficiency.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

The Senior AI Engineer will design, build, and operate systems, collaborate with users, and apply AI to improve outcomes while managing projects end-to-end.

Join the AI Innovation team as a backend Python developer. Design, code, and maintain AI-driven applications while collaborating with product management and driving coding best practices.

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

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The AI QA Test Engineer will validate AI-driven systems, ensure quality through testing of ML models, and collaborate with cross-functional teams. Responsibilities include automated test development, data validation, and adherence to ethical AI standards.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

The Expert AI Software Engineer will leverage expertise in React, TypeScript, and Python to develop AI-driven applications, focusing on backend API design and database management.

As a Zoom AI DevOps Engineer, you'll design AWS infrastructure, implement Infrastructure as Code, manage deployments, and ensure system reliability and performance.

Develop AI workflows and oversee systems that automate complex processes. Mentor junior engineers and collaborate with teams for AI implementation strategies.

Lead AI/ML projects, design solutions, mentor engineers, and drive architecture while ensuring best practices in model development and deployment.

Lead AI/ML projects to develop recommendation systems, optimize data pipelines, and deliver strategic insights for supply chain execution while mentoring engineers and collaborating across teams.

The role involves designing scalable backend systems in Python, integrating AI/ML models, optimizing data pipelines, and collaborating with teams to deliver high-performance solutions.

The Software Tester will work on manual and automation testing, utilizing various tools to ensure product quality and validate AI/ML workflows. Key responsibilities include testing methodologies, defect lifecycle management, and collaboration with development teams.

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

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

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.