Top Artificial Intelligence Jobs in Mumbai

This role focuses on providing strategic advisory services related to financial operations, model development, and business transformations for CFO agenda initiatives.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.

Develop and deploy Generative AI solutions, engage with customers, and integrate AI/ML into cloud environments, requiring strong expertise in AI technologies and hands-on experience.

Lead the Data and AI Engineering Studio, overseeing technical vision, mentoring teams, delivering solutions, and engaging in business development and innovation.

The Senior Systems Support Engineer will provide system support for SAAS and Linux applications, troubleshoot issues, mentor team members, and enhance system monitoring. Requires expertise in Azure and cloud technologies, with a focus on AI application support.

The role involves improving search relevance and tuning production search pipelines using OpenSearch/Elasticsearch, focusing on practical, production-level systems.

The role involves diagnosing and fixing issues in image classification and detection pipelines, utilizing real-world Computer Vision systems, and ensuring production-grade solutions.

The AI Engineer will design and develop Generative AI systems, focusing on LLM-powered applications, collaborating on ML model training, data pipelines, and optimizing model performance.

Lead a Mumbai AI/ML team to build anomaly-detection models and GenAI (RAG/Agent) workflows for regulatory reporting. Design human-in-the-loop validation, embed explainability in models, build review UIs, work with Model Risk Management, and evangelize AI to operations.

The AI Intern will assist in the integration, deployment, and operationalization of AI models, focusing on data engineering, backend development, and quality assurance while supporting documentation and knowledge transfer.

As an AI Engineer, you will design and implement AI-driven solutions using LLMs and traditional ML techniques, ensuring integration with enterprise platforms and optimizing user interfaces. Collaborate with teams to establish AI standards and manage the AI solution lifecycle in Agile environments.

The AI Engineer will build and optimize AI/ML models, integrate them with existing systems, manage model lifecycles, and ensure ethical AI practices.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Design, build, and productionize scalable AI/ML pipelines and models (including LLMs and Generative AI). Deploy and optimize models across cloud and edge, implement MLOps (CI/CD, versioning, monitoring), and collaborate with data scientists and engineering teams to deliver reliable, low-latency AI solutions.

The Senior Audit Manager oversees AI technology and cybersecurity audits, ensuring compliance with regulations and providing risk management insights.

The role involves designing and building AI solutions, integrating them with products, mentoring junior developers, and ensuring code performance across different technology stacks.

Lead and grow the AI Forward Deployed Engineering team at Databricks, manage AI/ML transformation for customers, and develop professional relationships with executive stakeholders.

As a Senior Agentic AI Lead, you will manage the agentic AI domain, engage with customers, oversee the AI lifecycle, and ensure effective data governance and analytics across various teams.

The GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.

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.

Seeking a Senior Java Developer with 5+ years of experience to architect and implement enterprise applications, focusing on AI features and Large Language Models integration.

OpenGov seeks an Applied AI Engineer to design and maintain APIs and middleware that connect AI capabilities to applications, focusing on backend development and system integration for AI workflows.