Data and AI Engineer, Google Cloud
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Machine Learning
In short
Google Cloud is seeking a Data and AI Engineer with mid-senior level experience to join their team. This role involves architecting and deploying enterprise-grade cloud data platforms, working with AI products like Gemini models, and solving complex customer challenges. The position offers a hybrid work mode and is based in Bengaluru or Hyderabad, India.
Responsibilities
- Provide expert advisory on architectural frameworks and operational best practices for comprehensive Agentic platforms.
- Lead pre-sales and solutioning efforts for large Data & AI agreements and lead comprehensive artificial intelligence initiatives.
- Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
- Act as a trusted technical advisor to Google’s most strategic customers.
- Provide expert guidance on architectural data strategies to ensure optimized utilization across AI models.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6 years of experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
- Experience writing software in Python, Scala, R, or similar and experience with Gemini models, ADK, Gemini Enterprise and other google AI products.
- Experience troubleshooting technical issues for internal/external partners or customers.
- Experience with data structures, algorithms, and software design and with solution engineering, stakeholder management, professional services, or technical consulting.
Desired Qualifications
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience in software development, professional services, solution engineering, technical consulting.
- Expertise in architecting and rolling out new technology and solution initiatives.
- Experience with core Data Science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Effective customer-facing communication and listening skills.
Benefits
- Opportunity to leverage emerging technologies for external clients/partners.
- Oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
- Develop innovative, cutting edge solutions.
- Build tools and automate products.
- Develop product strategy and prioritize projects and resources.
#Data#AI#Engineering#Google Cloud
Company
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Mid-Senior
Locations
Bengaluru, India
Hyderabad, India
Qualification
Bachelor
Applicants
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