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GCP with Generative AI Trainer

  • Source: Indeed
  • Innoture Digital Edge
  • Remote
  • India
  • Full-Time
  • Mid level

Job Description

GCP with Generative AI Trainer

Company: Innoture Digital Edge
Work Mode: Remote / Online

About the Role:

Innoture Digital Edge is looking for an experienced and passionate GCP with Generative AI Trainer to conduct live online, practical, and industry-oriented training programs for students and working professionals.

The ideal candidate should be able to explain Google Cloud Platform (GCP) and Generative AI concepts from fundamentals to advanced levels, with hands-on exercises, real-world examples, cloud-based AI applications, and practical projects.

Key Responsibilities:

  • Conduct live online GCP and Generative AI training sessions.
  • Explain Google Cloud concepts from fundamentals to advanced topics.
  • Teach core GCP services, cloud architecture, and cloud application development.
  • Provide hands-on training using the Google Cloud Console.
  • Teach Generative AI concepts and their practical applications on Google Cloud.
  • Provide hands-on training with Vertex AI and Gemini.
  • Demonstrate LLMs, prompt engineering, embeddings, and AI application development.
  • Guide students in building Generative AI applications on GCP.
  • Provide coding exercises, practical demonstrations, and real-world use cases.
  • Guide students through GCP, Cloud, and Generative AI projects.
  • Resolve student doubts and provide technical guidance.
  • Teach deployment, monitoring, security, scalability, and cloud best practices.
  • Explain real-world GCP and Generative AI use cases.
  • Support students with project implementation and interview preparation.
  • Maintain an interactive and engaging online learning environment.

Requirements:

  • Strong practical knowledge of Google Cloud Platform (GCP).
  • Hands-on experience with Vertex AI and Generative AI.
  • Good knowledge of Gemini models and Google Cloud AI services.
  • Understanding of Machine Learning and AI fundamentals.
  • Knowledge of Large Language Models (LLMs) and Prompt Engineering.
  • Experience with RAG, embeddings, vector databases, and AI applications is preferred.
  • Strong knowledge of Python and AI APIs.
  • Experience with cloud deployment and application development.
  • Knowledge of GCP services such as Compute Engine, Cloud Storage, BigQuery, Cloud Run, IAM, and Cloud Functions is preferred.
  • Knowledge of LangChain or similar Generative AI frameworks is an added advantage.
  • Good communication and presentation skills.
  • Ability to explain technical concepts clearly to beginners and working professionals.
  • Prior online training or teaching experience is preferred.
  • Industry experience in GCP, Cloud, AI, or Generative AI is an added advantage.

What We Provide:

  • Student leads and batch coordination.
  • Online training platform and technical support.
  • Marketing and promotional support.
  • Course scheduling and coordination.
  • Student communication and batch management.
  • Opportunity to conduct multiple batches based on student demand.
  • Long-term collaboration opportunities for experienced trainers.

Compensation:

Salary/Compensation will be offered based on the candidate’s skills, practical experience, technical expertise, training experience, and overall suitability for the role.

How to Apply

Interested candidates can share:

  • Updated Resume/CV
  • GCP, Cloud, and Generative AI training experience
  • Topics and technologies they can teach
  • Previous training experience
  • Industry experience
  • Availability and preferred batch timings
  • LinkedIn or GitHub profile, if available

Suitable candidates will be contacted for a discussion/demo session.

Email: [email protected]
What’sapp: +91 7996682999
Website: www.innoture.in

Application Subject: GCP with Generative AI Trainer

Benefits:

  • Work from home

Work Location: Remote

Skills

  • google-cloud-platform
  • digital-edge
  • mode
  • google-cloud-console
  • vertex
  • Gemini
  • Python
  • LangChain
  • Github

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