SENIOR SOFTWARE ENGINEER - AI/ML

The Senior Software Engineer - AI/ML designs, develops and maintains scalable applications while building and deploying AI, machine learning and deep learning models across the software development lifecycle. What you'll do * Design, develop, test and maintain scalable software applications using Python, C++, .NET, WPF and WCF technologies. * Develop and deploy artificial intelligence, machine learning and deep learning models to address business requirements. * Build solutions for image processing, sentiment analysis and natural language processing. * Implement supervised and unsupervised learning algorithms, including classification, regression and clustering techniques. * Develop and evaluate neural network models, selecting appropriate methods to improve accuracy and performance. * Prepare and analyse datasets, perform feature engineering and validate model outputs. * Integrate AI/ML models into production applications through APIs and services. * Contribute across the software development lifecycle, including requirements analysis, solution design, development, testing, deployment and support. * Review code, troubleshoot complex issues and improve software quality, security and maintainability. * Support cloud deployment, automation and CI/CD processes. * Facilitate Scrum ceremonies and support Agile and SAFe delivery practices, including Scrum Master responsibilities where required. * Mentor developers and collaborate with stakeholders to deliver projects within agreed timelines. * Maintain technical documentation and recommend improvements to development processes. What we're looking for * Minimum 5 years of experience in software development, with involvement across the software development lifecycle. * Bachelor's degree in Computer Applications, Computer Science, Information Technology or a related discipline, or equivalent professional experience. * Hands-on experience developing applications using Python, C++, .NET, WPF and WCF. * Practical experience developing, training, evaluating and deploying AI/ML models. * Working knowledge of deep learning, image processing, sentiment analysis and natural language processing. * Experience with supervised and unsupervised learning, classification, regression and neural networks. * Understanding of statistical modelling, data preparation and model performance evaluation. * Experience implementing Agile and SAFe practices, including experience as a Scrum Master. * Familiarity with version control, software testing, CI/CD pipelines and cloud deployment. * Ability to adapt to changing requirements, manage priorities and work independently. * Strong teamwork, interpersonal, communication and problem-solving skills. * Preferred: AWS Certified DevOps Engineer - Professional. * Preferred: Databricks Certified Generative AI Engineer Associate.