Top Artificial Intelligence Jobs in Mumbai

Join Welo Data's global contributor network to work on flexible remote projects involving annotation, evaluation, and prompt creation for AI systems.

Join Welo Data's talent community to work on flexible, remote AI projects involving annotation, evaluation, and prompt creation. Requires fluency in Afrikaans and English. Perfect for detail-oriented tech enthusiasts.

Join Welo Data's global contributor network to work on AI projects involving annotation, evaluation, and prompt creation, with flexible remote opportunities.

Join Welo Data's global talent community to contribute to AI projects remotely. Tasks include annotating, evaluating, and creating content for AI systems.

Welo Data seeks detail-oriented contributors for flexible remote projects involving annotation, evaluation, and prompt creation to enhance AI systems. Ideal candidates are native Maltese speakers and should possess English proficiency and comfort with digital tools.

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

As a Product Manager for AI initiatives, you will define user problems and drive the execution of AI-driven customer interactions, managing the product lifecycle from concept to launch, while ensuring alignment with cross-functional teams and tracking performance metrics.

The AWS Solutions Architect- AI/ML will design and implement cloud solutions, focusing on modernization, data engineering, and AI/ML integration to support client goals.

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.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

The Senior AI Engineer will design, develop, test, and maintain software applications, focusing on AI technologies while leading projects and mentoring peers.

The Senior AI Engineer will design, develop, and maintain AI-driven software applications, manage projects, lead code reviews, and mentor team members while ensuring adherence to best practices in software development.

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

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 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.

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

The Software Tester will work on manual and automation testing, utilizing various tools to ensure product quality and validate AI/ML workflows. Key responsibilities include testing methodologies, defect lifecycle management, and collaboration with development teams.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The Technical Writer will develop and maintain technical documentation, collaborate with teams, and enhance user experience through clear content on AI/ML products.

The AI Engineer will design and deploy machine learning models, optimize performance, support AI R&D, and ensure data quality for model training.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves designing, implementing, and scaling GenAI solutions, collaborating with teams to translate business needs into technical solutions, and ensuring high-quality code and architecture.