Senior Machine Learning Engineer

• Significant experience designing and deploying machine learning systems in production environments.
• Strong software engineering skills in Python, with experience building maintainable, tested, and production-quality code.
• Strong experience with large-scale data processing using technologies such as PySpark and Databricks.
• Experience designing and building ML pipelines across the full lifecycle, from data preparation and model development through to deployment and monitoring.
• Experience developing deep learning models using frameworks such as PyTorch, TensorFlow, or similar.
• Experience with multimodal machine learning, representation learning, or embedding models, combining data sources such as images, text, structured metadata, or behavioural signals.
• Strong understanding of modern deep learning architectures, particularly Transformers, foundation models, multimodal learning, and representation learning techniques.
• Experience working with distributed computing, large datasets, and scalable model training or inference systems.
• Familiarity with cloud platforms and modern MLOps practices.
• Strong communication skills and the ability to collaborate effectively with scientists and engineers.
• A pragmatic mindset, balancing technical excellence with delivering business value.

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