Top Artificial Intelligence Jobs in Mumbai

The Senior Staff Engineer will lead AI application development, focusing on Generative AI, .NET backend development, and cloud-based architectures. Responsibilities include coding, technical design, and overseeing project implementation while ensuring best practices in scalability and security are met.

The role involves developing Generative AI applications, API design, and cloud-native solutions, while overseeing architecture and technical guidelines.

The Senior Staff Engineer will develop AI applications, design technical solutions, and ensure best practices in software development while collaborating with clients and teams.

The Senior Python Engineer will design and build backend systems for Voice AI, collaborate with multiple teams, optimize performance, and maintain CI/CD pipelines.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

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.

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

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

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

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.

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 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.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

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

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Vice President - AI Solutioning will lead the design and commercialization of AI-driven solutions in contact centers, engaging with clients, developing pricing strategies, and driving transformation.

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.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.