Cloud Engineer, Data and AI
Google (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 35–60 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and deploy enterprise-grade cloud data platforms integrating streaming and batch workflows.
- Design and implement machine learning solutions using Google AI products like TensorFlow, DataFlow, and Vertex AI for customers.
- Provide expert advisory on AI initiative architectures, data strategies, and operational best practices, influencing Google Cloud product roadmaps.
Minimum Requirements
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience architecting and deploying enterprise-grade cloud data platforms with streaming and batch processing.
- Experience writing software in Python, Scala, R, or similar languages.
- Work Experience Required: 5 years preferred, specifically with recommendation engines, data pipelines, or distributed machine learning.
Ideal Candidate Profile
- Experienced in delivering AI and big data solutions for enterprise clients and providing architectural guidance.
- Familiarity with Google AI products such as Gemini models, ADK, and Gemini Enterprise is a competitive advantage.
- Ability to engage directly with customers on-site for deployment, workshops, and solution delivery, and collaborate cross-functionally with Product Management and Engineering teams.