MLOps Engineer (Argentina)

MLOps Engineer (Argentina)

15 oct
|
Promtior
|
Argentina

15 oct

Promtior

Argentina

About Promtior
Promtior is at the forefront of the Agentic AI revolution, delivering cutting-edge solutions that transform businesses across industries — bridging technology and people to turn AI into a real competitive advantage. Since 2023, we’ve helped organizations boost operational efficiency through tailored Agentic AI solutions, from discovery and development to full implementation, across three core lines: AI Product Delivery (predictive analytics, intelligent automation, AI-driven chatbots, image processing), AI Department as a Service (LATAM-based teams that integrate directly with our clients’ teams), and AI Adoption Consulting (helping companies find and act on AI opportunities across their business).
We’re a team held together by genuine relationships, constant exchange, and shared learning. We believe innovation happens when people feel included and collaborate with purpose, and we aim for professional growth to go hand in hand with personal well-being.

About the Role




We’re looking for an MLOps Engineer to join our Engineering team as the senior technical reference for ML and AI infrastructure. This is a hands-on architecture and leadership role, working embedded with a integral fintech client: you won’t own product models yourself, but you will shape how every model and AI component is trained, deployed, monitored and run in production, enabling Data Science and AI teams to take their work from idea to production in a reliable, observable and compliant way.

Key Responsibilities
You will define and evolve the end-to-end ML platform architecture (data, training, model registry, serving, monitoring and governance) used by multiple squads, and set the standard patterns teams build on: reproducible training pipelines and experiment tracking, model packaging, versioning and promotion flows from dev to production, and online and batch inference with safe rollout strategies such as canary, shadow deployments and rollback. You will balance reliability, perform

📌 MLOps Engineer (Argentina)
🏢 Promtior
📍 Argentina

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