Top Artificial Intelligence Jobs in Mumbai

The AWS Conversational AI Designer role focuses on creating innovative conversational AI solutions while fostering a diverse and inclusive culture within the company.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

The AI Process Automation Engineer will design and develop automation tools and integrations, optimizing workflows using AI-driven solutions while collaborating with cross-functional teams.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, preprocess data, and optimize ML pipelines. Additionally, you will mentor junior members and contribute to AI/ML strategies.

The AI Engineer Intern will work on building and testing LLM applications, deploying models on AWS, and experimenting with AI frameworks and transformers.

The AI Business Analyst engages business leaders to understand challenges and propose tailored AI solutions, building relationships and ensuring client satisfaction while meeting sales targets.

As a Zoom AI DevOps Engineer, you'll design AWS infrastructure, implement Infrastructure as Code, manage deployments, and ensure system reliability and performance.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

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

As a Senior Marketing Associate, you will execute marketing campaigns using HubSpot, partner on outbound initiatives, support SEO efforts, maintain tech stack, and integrate AI tools to automate processes.

Lead the design and implementation of data infrastructure for analytics and AI; manage ETL solutions and Master Data Management; mentor data engineering team.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

Join the AI Factory team to develop ML solutions that enhance patient care. Collaborate with cross-functional teams, mentor juniors, and innovate machine learning algorithms in a production environment.

Develop AI and ML models to enhance patient care, collaborate with cross-functional teams, mentor junior engineers, and explore new ML techniques.

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

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

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 Solutions Architect for AI/ML at Snowflake designs and deploys AI/ML solutions using Snowflake and its partners, ensures client success, and collaborates with internal teams while maintaining a hands-on approach.

The UX Designer Associate will assist in design activities, including creating wireframes and prototypes in Figma, supporting user research, and collaborating with senior designers and product managers.

As a Senior UX Designer, you'll lead UX design for product features, apply Human-Centered Design principles, conduct user research, and collaborate with cross-functional teams to create effective design solutions for SaaS products.

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

The Staff Engineer will develop AI applications, design technical solutions, review code, ensure best practices, and lead integration scenarios.

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

The Senior Staff Engineer will lead AI application development, designing solutions, and translating client requirements while ensuring quality code and technology integration across projects.