Senior Machine Learning Engineer

About MatificMatific is a leading global EdTech provider, delivering an adaptive online learning platform for primary school mathematics. With our product being utilised by millions of students, teachers and parents in 100+ countries we are helping educate the youth and bring equality to education. With over $50M USD invested and a global team of over 200+ employees, we are committed to achieving our goals. We’ve also picked up a number of awards including numerous CODiEs, Academics’ Choice and Edtech Digest to name a few.THE ROLEWe are seeking a skilled Machine Learning Engineer to join our team. This role involves end-to-end ownership of the machine learning lifecycle — from model design and development to scalable deployment and monitoring in production. You will play a key role in developing high-impact ML solutions and ensuring their reliability and performance on our platform. This role combines deep ML research with strong engineering and MLOps practices to bring state-of-the-art models from concept to production.Key ResponsibilitiesDesign, develop, and train robust machine learning models, with a focus on transformer-based architectures, large language models (LLMs), and multimodal systems.Conduct applied research and experimentation in cutting-edge areas such as agentic AI, few-shot learning, tool-use capabilities and prompt engineering.Conduct data exploration, feature engineering, and experimentation to optimize model performance, leveraging SQL for large-scale data analysis and extraction.Lead cloud-based deployment and operationalization of ML models, primarily on AWS.Build and maintain automated CI/CD pipelines tailored for ML workflows, including data validation, model versioning, testing, and rollout.Monitor model performance in production, implement retraining strategies, and manage model drift.Scale ML pipelines and inference systems to handle large datasets and high-throughput environments efficiently.Collaborate closely with data scientists, software engineers, and product teams to integrate ML solutions into customer-facing products and internal systems.Drive best practices in ML system design, model reproducibility, and responsible AI.Stay current with emerging trends, tools, and techniques in machine learning, deep learning, and MLOps.Requirements:Bachelor's degree in Computer Science, Data Science, or a related field. Advanced degrees preferred.Minimum of 3 years of hands-on experience in machine learning, with a demonstrable portfolio of projects.Deep Learning: Familiarity with neural network architectures, including CNNs, RNNs, and Transformers.Proficiency in SQL and data analytics—able to query, transform, and analyze large datasets to support modelling and decision-making.Experience working with platforms such as Kubeflow in managing ML experiments is an added benefit.Strong skills in evaluating, fine-tuning, and scaling ML models in real-world production settings.Proficient in ML frameworks and languages such as TensorFlow, PyTorch, and Python.Exceptional problem-solving skills, analytical mindset, and attention to detail.Excellent communication skills, both verbal and written.Benefits:A business with a strong purpose: to provide quality education to children everywhereA fast and exciting scale-up environmentWork in the booming Edtech industryCollaborate closely with seasoned, successful entrepreneurs from around the worldOpportunity to innovate and challenge the status quoGreat remuneration, paid in USDA fun-loving office environment with full facilities for tech professionals at One Galle Face Office TowerComprehensive insurance coverage for you and your family, ensuring your health and well-beingFlexibility to support a healthy work-life balanceAccess to continuous learning opportunities to enhance your skills and grow your career