Senior Mlops Engineer - Argentina (Buenos Aires)

• Innovation to solve the hardest problems.
• Accountability for every result.
• Integrity always.

We are looking for an accomplished professional to bridge the gap between machine learning and reliable production operations. You will be responsible for the deployment, monitoring, and lifecycle management of ML models, with a strong focus on generative AI and LLM-based agents. You will ensure that our intelligent systems are scalable, observable, and continuously improving.

• Deploy and maintain efficient, error‑free ML model pipelines using Vertex AI or SageMaker.
• Establish and optimise CI/CD for the training, testing, and deployment of models.
• Design and deploy observability frameworks to track model accuracy, bias, drift, and latency.
• Manage model versioning and registry, ensuring the ability to roll back...