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We are seeking an experienced and passionate AI Engineer Apprenticeship Trainer to deliver high-quality, hands-on training in artificial intelligence and machine learning engineering. The ideal candidate will have a strong background in AI/ML concepts, software engineering, and real-world project experience, with a passion for teaching and upskilling professionals or students.
Key Responsibilities
Teach key topics including:
* Machine learning algorithms (supervised, unsupervised, reinforcement learning)
* Assessing Security, Ethics & XAI
* Developing & Testing AI Solutions
* Deep learning (CNNs, RNNs, transformers)
* Generative AI and LLMs (e.g., GPT, BERT, Diffusion models)
* AI deployment and MLOps best practices
* Guide learners through coding labs, projects, and capstone work using Python, TensorFlow, PyTorch, or similar tools.
* Stay updated with the latest AI technologies, tools, and trends to continuously improve training content.
* Assess participant progress through quizzes, assignments, and evaluations.
* Collaborate with curriculum developers and other trainers to maintain a consistent and high-quality learning experience.
* Data architecture, pipelines and storage
* Awareness of cutting-edge AI topics (e.g. agents, RAG, RAC, MCP)
Skills & Abilities
* Bachelors or master’s degree in Computer Science, Data Science, AI, or related field.
* Strong programming skills in Python and familiarity with tools like Jupyter, NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
* Excellent communication, presentation, and facilitation skills.
* Must be able to inspire and engage on AI topics
* Practical expertise with building and deploying AI models'
* Experienced in training, mentoring, or teaching technical content to professionals or students.
* 3+ years of experience in AI/ML engineering or research.
* Teaching qualification or willingness to work towards one
* Understanding of Docker, Streamlit, FastAPI and Flask
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