Top Artificial Intelligence Jobs in Mumbai

The role involves designing and deploying automation solutions for customer service and internal operations, enhancing data analysis and compliance processes through technology.

As an AI and Automation Operations Associate, enhance operational excellence by automating solutions across Customer Service, Marketing, Compliance, and Internal Operations, focusing on data analysis using SQL and automation platforms.

The AI and Automation Associate will design and deploy automation solutions, enhance operational efficiency, analyze data, and improve compliance processes at Wahed.

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

This role focuses on providing strategic advisory services related to financial operations, model development, and business transformations for CFO agenda initiatives.

Join as an Associate Software Engineer intern to design, develop, test, and support software across AI/Generative AI, cloud, microservices, DevOps, and security domains. Write clean code, fix defects, participate in code reviews, document work, and collaborate with cross-functional teams while learning emerging technologies and improving development processes.

As a Generative AI Engineer, you'll implement AI solutions across sectors, design robust applications, and optimize AI workflows using advanced technologies.

Leading the creation and delivery of AI and Generative AI platforms, managing a cross-functional team, and ensuring data-driven AI services are scalable and secure.

The AI Engineer will integrate advanced language models into software solutions, develop applications using .NET, and enhance user interactions with JavaScript and XML.

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.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

As an AI Engineer, you'll develop and fine-tune machine learning models, work with large datasets, implement deep learning models, and collaborate on AI application development in NLP and predictive analytics.

The role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The role involves designing and deploying intelligent Voice Agents to solve business problems, ensuring performance and scalability, and collaborating across teams to implement AI-driven solutions.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

Develop, deploy, and maintain AI and machine learning models. Utilize frameworks and cloud platforms for AI-based solutions and optimize ETL pipelines. Collaborate and solve complex problems in a global team setting.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

The AI QA Automation Engineer will build automated validation frameworks for AI systems, work closely with ML teams, and ensure production readiness through comprehensive testing strategies.

The Data Engineer will design, develop, and maintain ETL pipelines for data integration, ensuring data quality and compliance in cloud and on-premise environments.

Manage the AI team operations, oversee project delivery, ensure adherence to governance, optimize workflows, and foster team development and communication.

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

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

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

The role involves using AI tools to create and optimize performance-driven video ads based on creative briefs, focusing on speed and quality.