Job Description
Trainer Requirement: Google AI Engineer (Online Training)
Job Type: Contract / Freelance / Training Partner
Delivery Mode: Online (Instructor-led)
Target Audience: AI / ML / Data Engineering Professionals
Job Overview
We have received a training requirement for Google AI Engineer and are currently evaluating experienced trainers or training partners who can deliver an instructor-led online training program aligned with Google’s AI engineering best practices and certification objectives.
The training should combine conceptual clarity with hands-on labs, real-world use cases, and practical implementation on Google Cloud Platform (GCP).
Training Scope & Responsibilities
• Deliver instructor-led online training for Google AI Engineer
• Cover core AI and ML concepts using Google Cloud services
• Provide hands-on labs and demonstrations using GCP
• Explain model development, training, deployment, and monitoring
• Cover MLOps practices and production-ready AI pipelines
• Share real-world implementation scenarios and best practices
• Support learners in understanding certification-oriented topics (if applicable)
Mandatory Requirements
• Strong hands-on experience with Google Cloud AI/ML services
• Practical knowledge of Vertex AI, BigQuery ML, AutoML, TensorFlow, and Python
• Experience designing and deploying end-to-end AI/ML solutions on GCP
• Prior experience delivering corporate or professional training
• Excellent communication and virtual training delivery skills
Preferred Qualifications
• Google Professional Machine Learning Engineer / AI Engineer certification
• Experience training small to mid-size corporate batches
• Exposure to MLOps, CI/CD for ML, and model lifecycle management
• Ability to provide lab environments or guided hands-on exercises
Job Types: Contractual / Temporary, Freelance
Contract length: 6 days
Pay: ₹80,000.00 - ₹100,000.00 per month
Work Location: Remote
Job Type: Contract / Freelance / Training Partner
Delivery Mode: Online (Instructor-led)
Target Audience: AI / ML / Data Engineering Professionals
Job Overview
We have received a training requirement for Google AI Engineer and are currently evaluating experienced trainers or training partners who can deliver an instructor-led online training program aligned with Google’s AI engineering best practices and certification objectives.
The training should combine conceptual clarity with hands-on labs, real-world use cases, and practical implementation on Google Cloud Platform (GCP).
Training Scope & Responsibilities
• Deliver instructor-led online training for Google AI Engineer
• Cover core AI and ML concepts using Google Cloud services
• Provide hands-on labs and demonstrations using GCP
• Explain model development, training, deployment, and monitoring
• Cover MLOps practices and production-ready AI pipelines
• Share real-world implementation scenarios and best practices
• Support learners in understanding certification-oriented topics (if applicable)
Mandatory Requirements
• Strong hands-on experience with Google Cloud AI/ML services
• Practical knowledge of Vertex AI, BigQuery ML, AutoML, TensorFlow, and Python
• Experience designing and deploying end-to-end AI/ML solutions on GCP
• Prior experience delivering corporate or professional training
• Excellent communication and virtual training delivery skills
Preferred Qualifications
• Google Professional Machine Learning Engineer / AI Engineer certification
• Experience training small to mid-size corporate batches
• Exposure to MLOps, CI/CD for ML, and model lifecycle management
• Ability to provide lab environments or guided hands-on exercises
Job Types: Contractual / Temporary, Freelance
Contract length: 6 days
Pay: ₹80,000.00 - ₹100,000.00 per month
Work Location: Remote
💡 Quick Summary
Seeking a career-building opportunity? The Trainer Requirement: Google AI Engineer (Online Training) position is now open for candidates interested in the Work from home Jobs sector. This role in India offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
