Contract: AI Operations Specialist Remote: Argentina; Brazil; Chile; Colombia; Costa Rica; Mexico

Contract: AI Operations SpecialistRemote: Argentina; Brazil; Chile; Colombia; Costa Rica; MexicoWhy You'll Love This Role: We're looking for an experienced ML Ops Engineer to join the ML/AI 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.Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).Experience building and maintaining data pipelines for ML training and feature engineeringFamiliarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioningExperience monitoring and flagging model drift over time.Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformersKnowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systemsExperience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settingsFamiliarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)Working knowledge of ML serving frameworks such as BentoML or similar.Comfort working with FastAPI or similar async Python web frameworks.Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefitsAbout Newsela:Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.Create a Job AlertInterested in building your career at Newsela? 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(Base compensation)*Select...What are your base compensation expectations for this position? *Please use full numbers $00,000 - $000,000When is the earliest you could start in this role?*How did you hear about this job?*I am a currently an employee or contractor of Newsela. *Select...I am a former employee of Newsela. *Select...I am, or was in the past, a customer of Newsela.*Select...WebsiteDo you have 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE?*Select...Describe your Python experience and what was the last time used and how?*Explain your hands-on experience with Docker containerization and container orchestration *Select...Explain your knowledge with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI)*