AI Engineer

• Design, develop, and deploy machine learning models for ground support applications including computer vision, point cloud processing, predictive analytics and Generative AI
• Contribute to architectural decisions on scalable AI/ML platforms to support distributed training, hyperparameter search, data processing, and inference
• Develop and maintain robust cloud infrastructure across AWS using Terraform, GitHub Actions and other relevant tools/software
• Design and build end-to-end, cloud-native systems for distributed ML training, real-time inference, and production-scale AI workloads
• Ensure model performance, reliability, and safety
• Develop scalable ML and data pipelines using MLOps and DevOps practices
• Continuous optimization of ML runtime performance across GPU clusters, CPUs, and edge environments
• Implement MLOps practices including model versioning, automated testing, deployment pipelines, and performance monitoring
• Conduct experiments, analyse results, and iterate on model architectures to improve accuracy and reliability
• Develop production-quality software applications using modern web technologies and cloud-native architectures
• Write clean, maintainable, and well-documented code following established coding standards and best practices
• Collaborate closely with cross-functional teams including product management, domain experts, and customers to understand requirements

• A university degree in Computer Science, Software Engineering, Data Science, or a related technical field is required, with AWS certification preferred
• Several years of hands-on experience in software development, with proven exposure to AI/ML projects, including deploying models and microservice-based applications to production using DevOps and MLOps practices
• Strong Python programming skills, proficiency in SQL for data manipulation, and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience with data processing tools, familiarity with big data frameworks, cloud computing on AWS, containerisation/Kubernetes, web development technologies, version control and collaborative development workflows
• Advanced experience in C++ or Java, Terraform, and CUDA (preferred), with strong knowledge of distributed systems concepts including microservices, replication, partitioning, consensus, and RPC frameworks
• Strong analytical and problem-solving skills
• Ability to work independently and in teams, mentor juniors
• A curious, self-motivated learning mindset
• Ability to explain technical concepts to diverse stakeholders
• Excellent English communication skills

Experience in ground support, mining or industrial applications is a plus

• A collaborative, inclusive, and forward-thinking work environment
• The chance to lead strategic initiatives that shape the future of our industry
• Opportunities for personal and professional growth
• The ability to make a tangible impact on a global scale