Top Artificial Intelligence Jobs in Mumbai

Design, develop, and deploy AI solutions. Collaborate with teams to improve user experience and streamline operations. Mentor junior members.

The Senior AI Engineer will design and deploy AI/ML solutions, mentor junior staff, and collaborate on projects across teams.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

As an AI Business Analyst, you will analyze data, create reports, collaborate cross-functionally, optimize AI prompts, communicate insights, and contribute to continuous improvement initiatives.

The Senior Backend Engineer will enhance Speechify's infrastructure by developing scalable systems and deploying TTS models, focusing on strategic product decisions.

As a Product Designer at SportsAI, you'll own design projects, analyze data for decision-making, conduct user testing, and collaborate with teams to enhance user experiences.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

The role involves designing an intuitive web-based help platform for laboratory instruments, integrating AI into technical communication workflows, and coordinating the AI engineering team. Responsibilities include collaborating with software teams and managing projects effectively.

As an AI & Automation Engineer, you'll design and optimize automation workflows, integrate systems, and develop AI tools to enhance operational efficiency.

The role involves leading the implementation of Workday modules and AI applications, ensuring data integrity, compliance, and enhancing HR operations with technology.

The AI Engineer will design AI-powered solutions for intelligent document processing, focusing on data extraction, automation using RPA, and integrating AI technologies.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The role involves developing QA strategies for AI applications, testing models for fairness and performance, and collaborating on automation frameworks.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

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

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.

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 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.

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

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