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    Maverick AI LTD

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    Published on 25.03.26

    ML Engineer

    We're looking for a Data/ML Engineer to build and maintain the data and ML pipelines that power Maverick's AI products. You'll work at the intersection of data engineering, ML research, and production systems — combining computer vision, graph processing, NLP, and domain-specific ML to turn raw data (engineering documents, sensor streams, structured datasets) into structured, actionable knowledge.

    What you'll own:

    • Design and implement data preprocessing pipelines for multi-modal inputs (images, graphs, time series, text)

    • Train ML models from scratch for computer vision, NLP, and graph-based tasks

    • Build and optimize models for production deployment

    • Create and maintain evaluation frameworks with appropriate metrics

    • Work with synthetic and real-world data across diverse domains

    • Collaborate with research and software engineering teams

    • Contribute to research efforts and experimentation when needed

    You might be a fit if:

    • Strong Python and ML framework experience (PyTorch preferred)

    • Hands-on experience training ML models from scratch

    • Experience with computer vision, NLP, and/or graph ML

    • Solid understanding of ML evaluation methodology

    • Comfortable with data exploration and pipeline engineering

    • Production ML experience (training, deployment, monitoring)

    Bonus points:

    • Published research or strong technical writing

    • Experience with industrial/engineering documents

    • Graph neural networks or structured prediction

    • Domain adaptation / transfer learning

    • Foundation model fine-tuning or RAG systems

    • Experience with large-scale data processing

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