Top Artificial Intelligence Jobs in Mumbai

Lead the development of scalable backend systems for AI interactions, collaborating with cross-functional teams and mentoring junior engineers.

Join Miratech as a Junior Python Engineer to develop applications and data pipelines with SQL expertise, focusing on AI and ML solutions.

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

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

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.

Design and develop Agentic AI applications, lead teams, integrate AI systems, and ensure compliance with security and privacy standards.

The Jr AI Engineer will design and develop AI solutions, implement algorithms, optimize models, maintain data pipelines, and mentor junior engineers.

The Associate Staff Engineer will focus on .NET backend development, cloud-native Generative AI, and design high-quality solutions, ensuring architectural best practices are followed.

The Staff Engineer will focus on backend development with .NET, design APIs, and integrate Generative AI solutions in cloud environments. Responsibilities include coding, technical design, and ensuring best practices for architecture and implementation.

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.

Lead architecture, design, and implementation of AI systems. Collaborate with teams to develop AI features and evaluate model performance. Mentor engineers and oversee technical execution.

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 Product Strategist, you'll design and execute AI strategies for customer interactions in consumer finance, collaborating with teams to define success metrics and deploy AI agents effectively.

The Sr. AI Engineer will develop and deploy machine learning models, automate workflows, and collaborate with teams to optimize solutions in AI-powered automation.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

The AI Engineer role involves applying AI tools to optimize IT support workflows, improve user experiences, and develop intelligent solutions in End User Services/Infrastructure.

As a Sr. Product Manager at Joist AI, you'll drive product development, own the roadmap, collaborate with teams, and ensure product quality while guiding AI solutions from concept to execution.

The role involves leading AI solutions development, mentoring teams, making architectural decisions, optimizing AI models, and ensuring best practices in AI-driven development.

The role involves building scalable ML/AI applications, implementing models in production, and defining best practices in ML operations. The engineer will lead projects, support juniors, and engage with teams.

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

Lead the design, development, and implementation of AI-driven network solutions, guiding the full software development lifecycle and technical innovation.