Senior Python Developer â?? AI & Machine Learning

What you will be doing

• Design, develop, and maintain high-performance Python applications supporting AI and machine learning use cases. • Develop scalable, maintainable and production-ready software using sound software engineering principles. • Design and implement APIs, services, integrations and backend components as required. • Participate in peer code reviews and promote coding standards, clean code and best practices. • Build and maintain data processing and ETL/ELT pipelines in distributed environments. • Contribute to the deployment, monitoring and ongoing optimisation of AI/ML applications and services. • Implement automated monitoring, logging, alerting and reliability mechanisms for production systems. • Work with DevOps, Data Engineering, Data Science and other technical teams to deliver robust solutions. • Troubleshoot and resolve complex technical and production issues. • Mentor junior developers and contribute to the continuous improvement of development practices. • Collaborate with stakeholders to translate business and analytical requirements into effective technical solutions. • Contribute to improving system performance, scalability, reliability and operational resilience. What we are looking for:

• BSc in Computer Science, Software Engineering or a related field. Transcripts required. • 5+ years of professional experience developing applications using Python. • Strong software engineering fundamentals and experience building production-grade systems . • Strong understanding of software design principles, including SOLID principles and clean architecture. • Experience developing APIs, services and/or distributed applications. • Experience with Git, CI/CD and automated testing. • Strong debugging and problem-solving capabilities. • Experience working with cloud platforms such as AWS, Azure or GCP. • Experience working with databases, data processing or ETL/ELT pipelines. • Understanding of application performance, scalability, monitoring and reliability. • Strong communication and collaboration skills, with the ability to work across software engineering, data and business teams. • An ownership mindset with a focus on quality, reliability and continuous improvement. AI / ML & MLOps Experience Advantageous:

• Experience developing or supporting applications within AI/ML environments.
• Exposure to ML lifecycle management and productionisation of machine learning models.
• Experience with MLOps platforms or tools such as MLflow, Kubeflow or similar.
• Experience with distributed processing frameworks such as Spark, Ray or similar.
• Exposure to cloud AI/ML services such as Vertex AI or equivalent.
• Experience with technologies su

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