Top Artificial Intelligence Jobs in Mumbai

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.

Lead and grow a cross-functional AI platforms team to productionize LLM-based solutions. Own platform roadmap, architecture, MLOps governance, security/compliance, and cross-functional delivery for scalable, reliable AI services.

Design, build, and deploy GenAI solutions: LLM-powered apps, RAG pipelines with vector DBs, multimodal models, agents, and MLOps practices. Benchmark models, tune prompts and fine-tuning strategies, ensure security/compliance, and support enterprise rollouts and documentation.

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

Lead design and delivery of production-grade AI/ML systems (NLP, NLU, LLMs). Define end-to-end pipelines, establish engineering standards, mentor engineers, optimize models for scale, manage delivery timelines, and collaborate with product teams to implement generative AI solutions.

Design and develop Agentic AI applications, lead teams, integrate AI systems, and ensure compliance with security and privacy standards.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Solutions Architect will guide startup customers in developing and scaling Generative AI applications, collaborating closely with various teams and providing technical advice.

Lead QA strategy and architect automation for AI products, ensuring quality and influencing best practices across teams. Manage testing methodologies and frameworks.

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.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions, collaborate across teams, and ensure reliable production deployments. Responsibilities include technical design, development of AI pipelines, and refining solutions based on client requirements.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

As an AI Engineer, you'll design and implement AI-driven solutions for classifying digital communications, using transformer models and collaborating across teams.

As a Senior AI Engineer II, you will manage the full ML lifecycle, leveraging Computer Vision and NLP to enhance data insights and improve model deployment processes. You'll collaborate with multiple teams to align AI solutions with business objectives and advocate for sustainable practices in machine learning.

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.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.