Top Artificial Intelligence Jobs in Pune

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

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

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.

The Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

As a Senior Software Engineer, you'll design and develop Generative AI applications, lead implementations, mentor engineers, and ensure quality and performance standards are met.

The Senior AI Engineer will design, develop, and maintain AI-driven software applications, manage projects, lead code reviews, and mentor team members while ensuring adherence to best practices in software development.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

The Senior AI Engineer will design, develop, test, and maintain software applications, focusing on AI technologies while leading projects and mentoring peers.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

As a Senior Python Engineer, you will design and build backend systems for a Voice AI platform, optimize performance and collaborate with cross-functional teams to integrate AI-driven components.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

Lead GoDaddy's Finance AI and Automation strategy, overseeing architecture, compliance, and change management to drive financial transformation.

The Senior Staff Engineer will develop AI applications, design technical solutions, integrate systems, and ensure best practices in a dynamic Agile environment.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Manager AI ML will define the strategic AI/ML roadmap, lead end-to-end system integration, and mentor teams to create innovative adaptive systems.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

The Vice President - AI Solutioning will lead the design and commercialization of AI-driven solutions in contact centers, engaging with clients, developing pricing strategies, and driving transformation.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.