Top Artificial Intelligence Jobs in Mumbai

The Senior Cloud Services Architect is responsible for designing and developing Managed Services solutions in the cloud domain, integrating technology and service design. They lead cross-functional teams to create competitive service offerings, engage with clients during the sales process, validate service designs, and ensure smooth transitions to service delivery teams while mentoring others in the process.

The role involves supporting the development and implementation of AI and data science strategies to enhance research methodologies and outputs at J.P. Morgan's Global Research Center. Responsibilities include automating workflows, collaborating with analysts, ensuring data integrity, and evaluating new AI technologies.

As an AI and Data Science Specialist at J.P. Morgan's Global Research Center, you will develop and implement AI strategies to enhance research methodologies. This involves workflow automation, collaboration with analysts for data-driven insights, and managing relationships with data vendors while ensuring regulatory compliance.

As a Software Engineer III at JPMorgan Chase, you will build and enhance technology products in AI/ML, develop secure and high-quality production code, lead evaluations with vendors, and implement automated testing solutions. You will work within agile teams to improve software operational stability, contribute to software design, and foster a culture of diversity and inclusion.

The Principal Architect is responsible for designing and implementing data lakes, data warehouses, and analytics solutions on cloud platforms. The role requires extensive experience in cloud technologies, data integration, and data analytics. Responsibilities include leading technical projects, collaborating with stakeholders, and mentoring team members. The architect must ensure that data solutions meet business requirements and uphold data quality.

The Technical Architect will design and implement big data solutions, manage data lakes and warehouses, and ensure data quality across healthcare organizations. Responsibilities include leading projects on cloud environments, interfacing with stakeholders, mentoring team members, and contributing to data migrations and analytics solutions.

Design and develop distributed applications and high-volume web services. Ensure high-quality software through unit testing and code reviews. Develop solutions related to machine learning and data analytics, while supervising a small team.

The Associate Solution Architect will design distributed applications, develop scalable web services, ensure high-quality software delivery, integrate various systems and supervise a small team while fostering a culture of innovation.

The AI ML Engineer role at HPE focuses on working onsite with customers to implement AI and ML solutions, requiring active learning, critical thinking, and a customer-centric approach. Collaboration with cross-functional teams and managing client expectations are essential components.

As a Data & AI Consultant at NTT DATA, you will lead multi-technology consulting services, engaging with high-level stakeholders to develop innovative solutions for complex business challenges. Responsibilities include crafting architectural approaches, ensuring client satisfaction, and enhancing internal processes. Your role requires strong client engagement and a deep understanding of technology infrastructure.

The Director of Data & AI is responsible for leading consulting practices in data analytics and AI across the APAC region. This role includes ensuring profitability, driving growth, managing project delivery, mentoring junior data scientists, and cultivating strong client relationships to develop innovative solutions and enhance client satisfaction.

As a Generative AI Engineer at QRT, you will design and implement advanced AI models while collaborating with various teams to understand and tackle real-world problems. Your role includes optimizing large language models and overseeing complex datasets for model training.

The role involves building enterprise-grade GenAI solutions for client deployment, focusing on ML project development, model deployment at scale, and engineering skills necessary for GenAI applications. Key responsibilities include data ingestion, leveraging LLMs, implementing RAG and prompt engineering, and monitoring ML model performance.

The AI Research Scientist will conduct cutting-edge research in machine vision, NLP, and deep learning. Responsibilities include designing novel AI models, implementing engineering pipelines, collaborating with teams, and documenting research findings. The goal is to develop scalable solutions addressing real-world challenges in AI.

As a Senior Manager and Product Owner for the Gen AI Technology domain, you will define the product vision, manage the product backlog, prioritize features, and collaborate with engineering teams to deliver reliable Gen AI applications and services. Your role involves understanding customer needs, engaging with stakeholders, and driving the transformation of Generative AI within the organization.

As a Senior Software Engineer in Gen AI, you will develop and maintain systems for AI model deployment, lead solution design, and refine AI capabilities, including prompt engineering and platform integration. You will collaborate with cross-functional teams, ensure system reliability and performance, and implement security best practices for AI systems.

The AI Cloud Solution Engineer will develop and implement AI strategies, collaborate with teams to create scalable AI applications, and integrate these solutions with existing systems while monitoring and optimizing performance.