Top Artificial Intelligence Jobs in Mumbai

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

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

The AI QA Test Engineer will validate AI-driven systems, ensure quality through testing of ML models, and collaborate with cross-functional teams. Responsibilities include automated test development, data validation, and adherence to ethical AI standards.

The Product Sales Expert AI will analyze AI market trends, act as an expert in AI solutions, and drive sales for advanced AI offerings within India.

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

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.

Architect and implement generative AI solutions focusing on LLMs and RAG workflows. Collaborate with clients and internal teams to optimize AI technologies in production environments.

The AI Engineer will design and develop cognitive data solutions using AI technology, manage data pipelines, and lead cross-functional teams to deliver scalable solutions.

Lead AI writing product strategy and development while collaborating with cross-functional teams to enhance long-form writing experiences.

The AI Client Manager audits AI Management Systems, preparing reports and collaborating with clients and teams to ensure regulatory compliance and quality service.

The role involves architecting and delivering generative AI solutions with a focus on training Large Language Models and implementing Retrieval-Augmented Generation workflows, collaborating with customers, and leading technical presentations and workshops.

The AI and Automation Operations Associate will design and implement automation solutions to enhance operations, improve customer experience, and streamline compliance processes within Wahed's UK region.

The Senior AI/ML Data Scientist leads research and development of analytic solutions, builds data processing systems, and mentors associates.

As a Middle AI Engineer/Data Scientist, you will develop AI solutions, improve chatbots, analyze data for NLP, and collaborate with clients and teams.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

The ServiceNow AI Engineer will develop AI solutions on the ServiceNow platform, manage integrations and automation, and improve IT operations through collaboration and teamwork.

Lead a team to develop AI safety tools and platforms, ensuring responsible innovation and collaboration with customers. Mentor staff and guide projects in AI safety methodologies.

The Lead Gen AI Data Scientist will design and implement AI solutions, work with cross-functional teams, and stay abreast of advancements in generative AI and LLMs, while supporting development and integration of models into applications.

The Analyst will support the AI strategy by researching, developing, and implementing processes and AI-powered solutions, optimizing models for speech recognition and video processing, and improving chatbot capabilities.