AI Engineer
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Role details
Tech stack
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Requirements
Do you have experience in Version control?, Do you have a Master’s degree?, * 3-6 years of experience in ML, AI engineering, or a related applied role
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Strong Python skills - pipelines, model training, API development
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Hands-on experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
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Experience building and maintaining data pipelines for ML workflows
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Practical LLM experience - prompt engineering, chaining, and agent frameworks (LangChain, LangGraph, or similar)
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Experiment tracking tools - MLflow, Weights & Biases, or equivalent
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Strong software engineering fundamentals - Git, testing, clean code, documentation
Preferred
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Experience with hardware performance data or systems-level modeling
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Familiarity with RAG systems and production ML deployment
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Knowledge of dataset versioning tools (DVC) and containerization (Docker)
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Experience building internal developer tools, Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field - or equivalent hands-on experience.
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