<div>Experienced team of professionals with crystal clear focus of delivering for specific to niche IT &amp; Digital skills via our tech-staff augmentation services. Besides our workforce solutions, our team of consultants assist SMEs to large companies strategies, decide, implement &amp; adopt best in class digital transformation practices &amp; solutions.</div>

Techwise Digital

Experience: 4–9 Years Role: AI / GCP Technical Trainer Employment Type: Full-time / Contract Location: [Add Location]
Job Summary
We are looking for an experienced AI / GCP Trainer to deliver technical training on Artificial Intelligence, Generative AI, Machine Learning and Google Cloud Platform. The ideal candidate should have strong hands-on experience with AI/ML concepts and GCP services, along with the ability to explain complex technical topics through practical demonstrations, labs and real-world use cases.
Key Responsibilities
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Design and deliver instructor-led training sessions on AI, Generative AI, Machine Learning and Google Cloud Platform.
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Train learners on GCP services such as Vertex AI, BigQuery, Cloud Storage, Compute Engine, Cloud Run and Google Kubernetes Engine.
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Explain AI/ML fundamentals, model development, deployment and monitoring.
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Deliver hands-on sessions on Generative AI, Large Language Models (LLMs), prompt engineering and Retrieval-Augmented Generation (RAG).
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Demonstrate practical use cases using Python, TensorFlow, PyTorch and relevant AI frameworks.
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Create training materials, presentations, assignments, labs and assessments.
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Guide learners through real-world projects and practical exercises.
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Evaluate learner performance and provide feedback.
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Stay updated with the latest developments in AI, Generative AI and Google Cloud technologies.
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Required Skills
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4–9 years of experience in AI/ML, Cloud Computing, GCP development or technical training.
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Strong knowledge of Google Cloud Platform and its core services.
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Hands-on experience with Vertex AI and AI/ML model development.
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Good understanding of Generative AI, LLMs, prompt engineering and RAG.
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Proficiency in Python programming.
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Knowledge of TensorFlow, PyTorch, Scikit-learn or similar ML frameworks.
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Understanding of APIs, cloud architecture, deployment and model serving.
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Excellent communication, presentation and classroom-training skills.
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