Contract: Machine Learning Operations Specialist

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About this role

Contract: Machine Learning Operations Specialist Remote: Argentina; Brazil; Chile; Colombia; Costa Rica; Mexico Why You'll Love This Role: We're looking for an experienced Machine Learning Engineer to join the ML team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale. What You'll Be Doing: - Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices. - Manage containerized services on AWS ECS, optimizing for cost, latency, and availability. - Automate infrastructure provisioning and service configuration with Terraform. - Work to maintain and scale services that make use of third party LLM providers. - Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows. - Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints. - Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving. About You: - 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE. - Strong proficiency in Python. - Hands-on experience with Docker containerization and container orchestration. - Solid understanding of CI/CD for ML workflows in an enterprise production environment. - Experience with Infrastructure as Code, preferably Terraform.

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