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