Top Artificial Intelligence Jobs in India

The Engineering Manager will lead a team focused on developing Large Language Models and Generative-AI applications. Responsibilities include mentoring team members, managing ML projects, collaborating across functions, and analyzing requirements. The role demands staying updated with NLP research to implement practical solutions and strategizing new ML ventures to align with business objectives.

The AI Technical Program Manager will lead the development and implementation of AI solutions, managing projects from inception to completion while ensuring timely delivery, budget adherence, and alignment with business objectives. Responsibilities include program planning, execution, risk management, stakeholder communication, and driving Agile methodologies within the team.

As a Coding Mentor for Complex AI Systems, you will guide AI models by crafting and answering computer science questions, and evaluating AI-generated code. This freelance role allows you to contribute flexibly, working remotely with top-tier organizations in AI training.

Outlier is seeking experienced software engineers to help train AI models by crafting and answering questions related to computer science and evaluating AI-generated code. This freelance role offers flexible hours and requires expertise in programming languages without a need for prior AI experience.

The role involves leveraging innovative data analytics and machine learning techniques to extract insights from the bank's data for strategic decision-making and operational efficiency. Key responsibilities include data collection, cleaning, development of data pipelines, statistical modeling, and collaboration with stakeholders to enhance business value from data.

The Principal Data Engineer will design and architect cloud-based solutions for data analytics products, collaborate with cross-functional teams, and establish best practices in data architecture governance. Responsibilities include developing automation strategies, leading technical direction, and contributing to a strategic roadmap while handling complex data product architectures.

As an AI Software Engineer, you will implement AI solutions for digital twins, focusing on self-healing supply chains through AI products. You will collaborate cross-functionally, ensuring compliance while driving product development and innovation within manufacturing and engineering to improve patient outcomes.

As a Product Manager for the Enterprise AI/ML team, you will define the vision and roadmap for data products, prioritize features based on user needs, collaborate with stakeholders across the enterprise, and guide product development from conception to launch. Your role will ensure that data capabilities align with long-term business goals, and you'll work with a technical team to deliver optimal user experiences.

The Generative AI Engineer will design, train, and customize Generative AI models for various projects involving image and text processing. Responsibilities include applying deep learning techniques, collaborating with teams, and staying updated on advancements in machine learning and artificial intelligence.

The Software Architect will design and build AI capabilities for the Conga Revenue Lifecycle Platform, focusing on high-scale production code in a multi-tenant SaaS environment. The role involves collaborating with a team to solve complex problems and contribute to core AI services essential for enhancing operational efficiencies, productivity, and accuracy for customers.

The Data Science Manager at Micron Technology will lead efforts in smart manufacturing through data science strategies and applications. Responsibilities include developing smart manufacturing applications, providing technical consulting, solving application issues, and keeping updated with data science trends. The role also involves working with teams to build machine learning models and integrating them effectively into existing systems.

The role involves designing, developing, and testing software systems in a cloud-based environment. Responsibilities include contributing to code writing, automated testing, software deployment, and maintaining documentation, while collaborating with various stakeholders. The engineer will also assist in refactoring code and debugging large-scale systems.

The Functional Consultant will design, develop, and manage analytics solutions, collaborate with global operations, troubleshoot data issues, and support analytics requests using big data and traditional systems. The role requires strong data handling skills and experience in supply chain analytics.

The Senior AI Engineer will develop and maintain scalable AI pipelines, deploy models in production, monitor and optimize AI systems, and implement version control in a fast-paced data science environment.

The AI Engineer will develop advanced AI agents for security teams, integrating models like LLama, Claude, and GPT-4 to enhance incident detection and response. Responsibilities include creating prototypes, designing anomaly detection systems, and collaborating with product and engineering teams for high-performance AI solutions.

As a Senior Generative AI Engineer, you will design and implement machine-learning algorithms to enhance 3D visualization. This role involves developing generative AI models like GANs and diffusion models, conducting research on AI advancements, and collaborating with a team to integrate these models into the platform for creating realistic content efficiently.

This role involves working with cross-functional teams to define and document R&D data standards, guide business teams on data usage, influence data governance policies, manage data quality, and ensure seamless data operations within the R&D data framework.