Senior ML Engineer

📋 Description

• Refactor and upgrade existing ML models, including NLP, generative AI and transcription models
• Engineer resilient ML workflows using DAG-based orchestration tools such as Argo Workflows and
• Ensure robust retry logic, error handling and repeatable execution across ML workflows.
• Define, automate and maintain strict ML evaluation pipelines using golden datasets.
• Ensure new models meet baseline quality and performance thresholds before release.
• Design and implement tracking mechanisms to capture precise model, prompt and input data provenance

🎯 Requirements

• Proven track record operating at the intersection of Machine Learning, MLOps and Platform/Backend
• Deep understanding of evaluation metrics for generative AI, LLMs and/or speech models, including
• Strong hands-on experience with containerisation using Docker and Kubernetes, alongside modern
• Experience building observable ML systems with logging, monitoring and strict cost-attribution
• Familiarity with data provenance, compliance standards and building fail-safe mechanisms for