Senior AI/MLOps Engineer
About this role
About the Role We are looking for a Senior AI/MLOps Engineer to design, build, deploy, and operate end-to-end machine learning solutions on Google Cloud Platform (Vertex AI) and Microsoft Azure (Azure ML). This is a full-stack ML role: the engineer owns the lifecycle from problem framing and data preparation through model development, deployment, monitoring, and retraining, with GenAI/LLM work as a meaningful but secondary component. What You'll Do
- Translate business problems into well-scoped ML use cases, choosing the right technique (supervised, unsupervised, forecasting, CV, recommender, or LLM) for the problem — not the other way round.
- Own the full ML lifecycle: data ingestion and preparation, feature engineering, model training and evaluation, deployment, monitoring, and retraining.
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