Senior MLOps Engineer at VC-backed AI-native retail platform

Join a rapidly scaling AI startup building a proprietary multimodal foundation model for retail. As a Senior MLOps Engineer, you will own the critical infrastructure and tooling that transforms experimental models into reliable, reproducible, and observable production systems, enabling rapid innovation and deployment at scale.

VC-backed AI-native retail platform

• Build and maintain robust CI/CD pipelines for model training, evaluation, and deployment across environments.
• Design and implement model registries, versioning systems, and experiment tracking for full reproducibility.
• Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health.

• Experience building and operating ML infrastructure, ideally in production environments serving real users.
• Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows.
• Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure).

• You'll be part of a high-output team, owning infrastructure vital for bringing cutting-edge AI research to customers.
• The company is well-funded, backed by top-tier VCs, and rapidly scaling after a recent Series A.
• You'll tackle complex challenges at the forefront of ML systems, including multi-modal models, real-time inference, and retail-scale operations.