Top Artificial Intelligence Jobs in Mumbai

As a Senior Associate, you will implement AI solutions at scale, develop data workflows, build web applications, automate CI/CD processes, and integrate AI models into production solutions.

The Associate Solution Architect will design and develop high-performance distributed applications, write and check in code for continuous integration, and oversee a small team. Responsibilities include developing user-centric web services, software solutions for system integration, and producing quality software related to machine learning and data analytics.

As an Associate Solution Architect, you will design and develop high-performance, user-centric applications, manage a team, ensure quality software production, and integrate various systems while utilizing machine learning and data analytics.

Manage and lead large development teams focused on AI and ML platforms, ensuring operational excellence and effective delivery of complex software. Drive technical innovation, support team growth, and collaborate with stakeholders on strategic direction.

Oversee and implement a comprehensive data strategy and governance framework for global operations, driving data management as a strategic asset.

Outlier seeks Math Experts to evaluate AI outputs, craft questions, and assess relevance. Flexible, remote freelance position.

As an AI Solutions and Delivery Engineer, you will design, develop and manage AI products, oversee projects, and mentor teams, ensuring solutions meet user needs and organizational objectives.

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.

This role involves developing AI and data science strategies to enhance research methods, automate workflows, and collaborate with stakeholders to create data-driven insights.

Lead the implementation of AI and data science strategies to enhance research outputs, collaborating with analysts while ensuring compliance and managing vendor relations.

Build enterprise-grade solutions for GenAI deployment, focusing on application development, data ingestion, model fine-tuning, and deployment at scale.

The Senior Software Developer for AI & Automation will focus on developing and optimizing AI and Automation solutions in Azure. Responsibilities include building robust cloud solutions, collaborating on infrastructure, troubleshooting deployment issues, utilizing machine learning, and mentoring junior team members.

As a Software Engineer for Training AI Data, you will evaluate AI-generated code quality, solve coding problems, and write robust test cases. You'll work on various projects involving AI models as they learn to code, requiring 3+ years of software engineering experience, primarily focusing on Python and potentially other programming languages.

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.

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 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.

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.