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    AI Engineer Sample CVs

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    What makes a strong AI Engineer CV

    • List ML frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, Hugging Face Transformers
    • Highlight model types you have built: LLMs, vision, speech, recommenders, reinforcement learning
    • Show MLOps and deployment experience: MLflow, Kubeflow, SageMaker, Vertex AI, BentoML
    • Include fine-tuning, RAG, and prompt engineering experience for LLM-based systems
    • Quantify model performance improvements, latency reductions, or business impact achieved

    Key skills employers look for

    Machine Learning

    PyTorch, TensorFlow, JAX, supervised/unsupervised learning, deep learning architectures

    Generative AI & LLMs

    Transformers, fine-tuning, RAG, prompt engineering, LangChain, vector databases

    MLOps & Deployment

    MLflow, Kubeflow, SageMaker, Docker, Kubernetes, model serving, A/B testing

    Data & Feature Engineering

    Data pipelines, feature stores, embeddings, imbalanced datasets, labelling

    How to tailor your CV

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    Step 3 Convert, Edit, Apply

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