Job Description

What you will be doing:
  • Architect, develop, and maintain high-performance Python applications supporting AI and machine learning use cases.
  • Lead peer code reviews and enforce best practices in software engineering and coding standards.
  • Design, build, and manage ELT/ETL data pipelines in massively parallel processing environments (e.g. Spark, Ray, or similar).
  • Oversee the full machine learning model lifecycle, including deployment, monitoring, optimisation, and maintenance.
  • Implement automated monitoring, alerting, and reliability mechanisms for production ML systems.
  • Mentor junior developers and data scientists on Python development and engineering best practices.
  • Collaborate with stakeholders to translate business and analytical requirements into robust technical solutions.
  • Contribute to improving system performance, scalability, and operational resilience.
What we are look...

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