Top Artificial Intelligence Jobs in Mumbai

As a MERN Stack Developer, you will build and maintain responsive front-end interfaces, develop back-end APIs, integrate AI, and ensure system performance and security while collaborating on large-scale applications.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

The Data & AI Manager will drive client value through data analytics and AI, ensuring data quality and developing predictive models while managing stakeholder relationships.

Lead the design and implementation of scalable AI systems, providing technical guidance and solving complex problems, ensuring systems' robustness and efficiency.

The AI Lead Engineer will design scalable AI and GenAI systems, lead complex solution designs, and ensure production-grade implementation of AI solutions without formal management.

The Sr. AI Engineer will develop AI solutions to address health challenges, collaborating with global teams to advance research and clinical practice.

The Principal AI Engineer will design and deploy end-to-end AI products, manage customer engineering, and translate complex requirements into technical solutions while ensuring high standards of code quality and deployment efficiency.

This role involves building and deploying AI/ML models, leading engineering teams, ensuring timely execution of projects, and continuously innovating in generative AI and LLM applications.

Lead CRM Salesforce development teams to enhance business operations with AI technologies. Identify and implement process improvements, and collaborate across teams to ensure strategic alignment with business objectives.

The Director of Software Engineering will lead design and development of Agentic AI components, conduct business analysis, optimize performance, and oversee product quality.

As a Risk Analytics AI Engineer, you will develop AI tools for risk management, working with Python and AI/ML models, collaborating with stakeholders.

Seeking a Generative AI Technical Product Owner for Wealth Management, focusing on AI tool development, testing, and management. Responsibilities include prompt optimization, model evaluation, and cross-team collaboration to ensure high-quality AI product delivery.

Develop and maintain Generative AI solutions and tools, lead teams, analyze information, implement scalable solutions, and ensure code quality. Collaborate globally and manage projects within an Agile framework.

The Lead Data Engineer manages and develops ETL processes, data architecture, and pipelines while leveraging AI technologies. Responsibilities include mentoring teams, collaborating on data strategy, ensuring data quality, and managing stakeholder relationships.

Lead the design, development, and delivery of scalable reporting solutions in a greenfield project. Mentor engineers and promote agile methodologies while utilizing AI tools to enhance productivity and ensure high software quality.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

The Senior AI Engineer II designs and develops scalable AI capabilities, optimizes ML models for business use cases, and leads data analytics talent within a collaborative environment.

The Senior Business Analyst will work closely with Project Managers and stakeholders to enhance project delivery, analyze business processes, and propose innovative solutions.

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

Lead and architect AI systems using Generative and Agentic AI, ensuring production readiness and mentoring AI engineers, while designing scalable solutions.

This role leads the Data, Decision Science, and Gen AI practice with P&L ownership, focusing on AI-powered solutions for various industries. Responsibilities include business leadership, solution design, AI capability delivery, product development, and team building.

Lead the Data, Analytics and Gen AI practice with P&L ownership, drive solution design, build AI products, and scale a high-performing team.

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

Develop machine learning algorithms to analyze brain data, design experiments, build data visualization tools, and assist in AI model development for education.

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.