Senior Python Developer – 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 such as BigQuery, Cloud Composer or similar data/ML platforms.
• Experience working in large-scale data environments and distributed systems.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

Please note that most of our positions are remote; however, candidates should reside within travelling distance of the client site, as the working arrangements may change depending on business requirements.

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