- 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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Senior Machine Learning Engineer employer: G10X
As a Senior Developer at our company, you will thrive in a dynamic and inclusive remote work environment that prioritises collaboration and innovation. We offer competitive benefits, continuous professional development opportunities, and a culture that encourages creativity and problem-solving, making it an ideal place for those looking to make a meaningful impact in the tech industry.
