Software Engineers write and test code, optimise software for speed and capability, evaluate and test new software, design and maintain software systems under limited supervision. Requirements Key duties and responsibilities The CTO Transition Program has a requirement for an experienced AI/ML-Python Developer, developing and optimizing machine learning models and applications. They will work with large datasets and collaborate with data scientists, engineers, and other stakeholders to drive machine learning projects from ideation to production. and/or Data Engineers to work together with AFP technical staff in furthering the integration of its covert collection, analysis and compliance systems. The AI/ML Python Developer should ideally have the following skills and qualifications: Mandatory requirements: Strong proficiency in the Python 3 programming language 5 years’ experience in similar environments Essential requirements : Understanding of machine learning algorithms, data science frameworks, and programming expertise to create innovative AI solutions Implementing algorithms. Design and optimize machine learning algorithms for scalable, high-performance systems Integrating AI systems. Deploy AI-powered applications into existing workflows and ensure seamless integration with APIs and platforms. Conducting data preprocessing. Clean and prepare large datasets to train and fine-tune models. Demonstrated experience developing APIs to integrate disparate applications in an enterprise environment to provide end-to-end business solutions Experience using collaboration tools that include git, issue tracking and wikis (e.g. GitLab, GitHub, Azure DevOps) Desirable requirements : Python web application framework (e.g. Django, FastAPI, Flask) NoSQL databases (e.g. MongoDB, Elasticsearch, Cassandra) SQL databases (e.g. PostgreSQL, MySQL) Object storage (e.g. S3 API) Message queues/event streaming (e.g. Kafka, Pulsar, RabbitMQ/AMQP) Workflow orchestration (Nifi, Prefect, Airflow) Development and consumption of REST APIs / Micro-service architectures Front-end development (e.g. JavaScript, HTML and CSS) Containerisation technologies (e.g. Docker, Kubernetes) Knowledge and use of CI/CD pipelines (e.g. Git, Ansible) Working with Agile methodologies (e.g. Kanban, Scrum)