Cloud Artificial Intelligence Engineer Google

3.0 - 7.0 years

0 Lacs

haryana

On-site

The position offers you the opportunity to choose your preferred working location from Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India. As a candidate, you should possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience along with 3 years of experience in building data and Artificial Intelligence (AI) solutions and collaborating with technical customers. Additionally, you should have experience in developing cloud enterprise solutions and supporting customer projects till completion. It would be advantageous if you have experience working with Large Language Models, data pipelines, and various data analytics and visualization techniques. Proficiency in Data Extract, Transform, and Load (ETL) techniques is desirable. Knowledge and experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video, and Voice will be beneficial. Familiarity with data warehousing concepts, including technical architectures, infrastructure components, and investigative tools like Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume, is preferred. Understanding of cloud computing, virtualization, multi-tenant cloud infrastructures, storage systems, and content delivery networks will be an added advantage. Strong communication skills are essential for this role. As part of the Google Cloud Consulting Professional Services team, you will assist customers in navigating crucial moments in their cloud journey to drive business growth. Working in a dynamic environment, you will contribute to shaping the future of businesses by leveraging Google's global network, data centers, and software infrastructure. Your responsibilities will include designing and implementing solutions for customer use cases using core Google products, identifying transformation opportunities with Generative AI (GenAI), and conducting workshops to educate customers on the potential of Google Cloud. You will have access to Google's technology to monitor application performance, troubleshoot issues, and address customer needs, ensuring a quality experience with the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. Key responsibilities will involve delivering big data and GenAI solutions, acting as a trusted technical advisor to customers, identifying product features and gaps, collaborating with Product Managers and Engineers to influence the Google Cloud Platform roadmap, and providing best practices recommendations through tutorials, blog articles, and technical presentations tailored to different levels of business and technical stakeholders.,

Posted 2 days ago

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