Top Artificial Intelligence Jobs in Mumbai

Join Welo Data to contribute to AI projects focusing on data annotation, evaluation, and enhancing AI models with culturally aware input. Fluency in French and comfort with digital tools are required.

Join Welo Data for AI data annotation and evaluation tasks, working remotely with flexible hours. Contributors shape the future of AI.

Join Welo Data to enhance AI technologies by engaging in annotation, data collection, and model evaluation while working flexibly in a global community.

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

Join Welo Data to assist in AI data annotation, evaluation, and instruction creation tasks, all remotely with flexible timing. Candidates must be native or near-native Cantonese speakers with English proficiency and digital tool familiarity.

Welo Data seeks individuals fluent in Flemish for remote roles in AI-related annotation and evaluation tasks. Responsibilities include transcription, prompt engineering, and data collection.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

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

Join the AI Innovation team as a backend Python developer. Design, code, and maintain AI-driven applications while collaborating with product management and driving coding best practices.

The MLOps Engineer will design and maintain cloud infrastructure for AI applications, manage deployments, and collaborate with developers to ensure production-ready systems.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Design and develop user-centric digital products with an AI focus. Oversee projects, create prototypes, mentor team members, and collaborate cross-functionally.

Lead collaboration with ML and DevOps Engineers to design, deploy, and maintain AI models focusing on LLM performance, data management, and CI/CD integration.

Lead the development, deployment, and monitoring of AI models while collaborating with ML Engineers and DevOps to enhance model performance and manage infrastructure.

The Audit Director leads assurance activities for AI Technology and Cyber, ensuring effective risk and control assessments in AI systems, while managing a team of audit professionals.

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.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

The AI / ML Engineer develops applications that utilize AI to enhance performance, collaborating with teams to implement solutions and mentor junior members.

The AI / ML Engineer develops AI-driven applications, leveraging technologies like deep learning and NLP while collaborating with teams to optimize solutions.

Build and maintain integration infrastructure for AI agents handling complex workflows in consumer finance, ensuring reliability and performance across various systems.

The Lead AI Researcher will provide domain expertise in AI for credit risk, develop use cases, analyze data, and engage in thought leadership in AI advancements.

The AI Implementation Consultant will manage project delivery, customer onboarding, and user adoption, ensuring timely implementation and excellent customer service, while adapting to changes and collaboration with cross-functional teams.

Design and develop AI-based platforms for extracting and managing data from various sources, implementing data pipelines, and collaborating with stakeholders.

Lead the development and deployment of AI solutions in computer vision and NLP, mentor engineers, and drive MLOps practices.