Top Artificial Intelligence Jobs in Pune

Design, implement, and optimize AI-powered applications and workflows using advanced Generative AI techniques. Work on production-scale projects in collaboration with stakeholders.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

The role involves developing AI performance tools for large-scale systems, conducting performance studies, and automating performance analysis for optimization.

As an AI Process Automation Engineer, you will design and develop AI-driven automation tools, collaborate with teams to optimize processes, and create integrations and workflows using scripting and automation frameworks.

The AI Support Engineer provides customer support for DataRobot's AI platform, troubleshoots complex issues, collaborates with teams, and documents solutions.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Looking for a Staff Engineer specializing in Generative AI with extensive experience in model architectures, AI solutions, and Python development. Responsibilities include architecting scalable AI systems, collaborating with teams, and ensuring high-quality code delivery.

The Senior Staff Engineer in Generative AI will architect and implement AI solutions, manage model fine-tuning, and collaborate on technical design to meet business needs.

The Staff Engineer will design and implement Generative AI solutions, focusing on large language models, prompt engineering, and scalable AI solutions, ensuring enterprise-grade performance on cloud platforms like Azure and AWS.

Design and implement GenAI solutions at scale, utilizing LLMs and SLMs, focusing on prompt engineering and cloud deployment on Azure or AWS.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

Lead AI/ML initiatives at IMACS, focusing on model development and deployment for climate-health data integration. Collaborate with teams, ensure effective model delivery, and accelerate training for public health professionals.

Lead the design and implementation of scalable data and AI solutions. Drive architectural standards and mentor teams, ensuring compliance with data security and privacy.

Lead the VoiceAI product strategy for HighLevel, manage full product lifecycle, drive product-led growth, and ensure alignment with company goals.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As an AI Engineer, you will develop Generative AI models, design RAG pipelines, and collaborate with stakeholders to optimize AI solutions for business needs.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

The AI/ML Engineer will develop and optimize AI-driven media search, fine-tune models, handle large datasets, and work with engineering to deploy scalable AI endpoints.