Platform Engineer – Data Science & AI Platform

- Add observability for agent traces responses evaluations and monitoring - Apply security and compliance best practices with RBAC and ACLs and identity and access management - Build and evolve data and ML platform infrastructure - Collaborate with data engineers data scientists and ML engineers - Create documentation standards and best practices - Develop data processing components with Python and Spark - Enhance observability for data quality pipeline reliability and model performance - Implement data and ML governance with lineage and permissions - Implement evaluation pipelines and safety guardrails - Implement infrastructure-as-code - Improve platform reliability, performance, and security - Maintain shared datasets and platform services - Manage Dev/Test/Prod environments - Manage access control and secure configuration - Manage data and ML lifecycle with pipelines experiment tracking and versioning - Operate agentops capabilities including LLM gateway tool integration and prompt version management - Set up CI/CD pipelines Perks/Benefits: - Employee discount - Employee sample sales - Fixed annual payment - Paid annual leave - Personalised learning - Private medical care scheme