Machine Learning Engineer

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Description

g. personalised product recommendations, ranking, search optimisation) * Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions * Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models * Ensure scalability, performance, and reliability of ML systems within Azure cloud infrastructure * Work with large-scale datasets to extract insights and improve model accuracy * Monitor model performance and retrain models to maintain effectiveness over time * Contribute to best practices in ML engineering, deployment, and governance YOUR KEY SKILLS: * Strong experience as an ML Engineer in a production environment * Proven expertise with Azure * Hands-on experience implementing MLOps frameworks (CI/CD, model versioning, monitoring, automation) * Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) * Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch) * Experience working with large-scale data processing tools If you are interested in the Machine Learning Engineer role, please send an application detailing

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