Google Cloud Platform (GCP) trainer

We are seeking an experienced GCP Trainer with expertise in Google Cloud technologies, Data Engineering, AI/ML, and Generative AI. The ideal candidate should have hands-on experience delivering technical training and mentoring professionals on modern cloud and AI solutions.

Required Skills & Qualifications

• 4+ years of relevant experience
• Strong understanding of Google Cloud Platform (GCP) services
• Experience with Data Engineering, AI/ML, and analytics solutions
• Hands-on experience with Looker or Looker Studio
• Proficiency in at least one programming language such as Python or Java
• Knowledge of Generative AI technologies and use cases
• Experience in AI Agent Development on GCP
• Excellent communication, presentation, and training delivery skills

Key Responsibilities

• Deliver training programs on GCP, Data Engineering, AI/ML, and Generative AI
• Design hands-on labs, workshops, and learning materials
• Guide learners on cloud architecture and AI implementation best practices
• Support certification-focused training initiatives
• Keep training materials aligned with the latest GCP updates and industry trends

Preferred Qualifications

• Relevant GCP certifications
• Experience with Vertex AI, BigQuery, Cloud Storage, and Looker
• Experience in enterprise training or corporate learning environments

Benefits

• Competitive compensation package
• Opportunity to work on emerging AI and Cloud technologies
• Flexible work model (WFO/Remote)
• Growth-focused learning environment

Pay: ₹1,200,000.00 - ₹1,700,000.00 per year

Benefits:

• Flexible schedule

Ability to commute/relocate:

• Bengaluru, Karnataka 560000: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• Are you currently working or not? if working then serving notice?
• Technical background in Data/AIML & experince in GCP services?
• What is your current CTC?

Experience:

• Google Cloud Platform: 4 years (Preferred)

Location:

• Bengaluru, Karnataka 560000 (Preferred)

Work Location: In person