Ouro · 13 hours ago
ML Ops Developer III
Austin, TX
Full-time
Onsite
Senior Level
7+ years expOuro is a global financial services and technology company focused on delivering innovative financial empowerment solutions. The MLOps Developer will be part of a centralized engineering team responsible for productionizing machine learning and generative AI workloads, collaborating closely with Data Science teams to optimize ML workflows and enhance automation, reliability, and security.
FinancePaymentsFinancial ServicesTransaction Processing
Responsibilities
Architect, deploy, and operate development and production MLOps platforms on AWS (SageMaker, Bedrock)
Build and maintain CI/CD pipelines for ML model training and deployment
Implement Infrastructure as Code (IaC) using Terraform
Manage AWS cloud components, including IAM, VPC, EKS, Lambda, security, networking, monitoring, and compliance
Automate the end-to-end ML model lifecycle (training, deployment, endpoints, monitoring, and failure detection)
Configure and manage cloud observability (logging, alerts, dashboards – CloudWatch and monitoring tools)
Enable secure LLM onboarding, prompt orchestration, and governance using Amazon Bedrock
Ensure platform reliability, scalability, security, and regulatory compliance
Partner with DS and Engineering to support ML model productionization and release governance
Qualification
Required
Advanced proficiency in Python
Strong experience in Terraform (IaC) for AWS infrastructure automation
Hands-on knowledge of CI/CD, DevOps, and deployment governance
Experience with AWS ML/AI ecosystem: SageMaker, Bedrock, IAM, VPC, EKS, Lambda, CloudWatch, cloud security, and monitoring
Practical experience with ML model deployment, endpoints, and production support
Solid understanding of cloud security, networking, logging, and observability
Knowledge of MLOps best practices and ML system design
Preferred
7+ years of experience in AI/ML engineering or platform roles
Experience with AWS SageMaker endpoints, pipelines, and model hosting
Experience integrating, orchestrating, or governing LLM workloads using Amazon Bedrock
Prior experience with ML deployments in production environments
Familiarity with Terraform modules and EKS-based deployments
Knowledge of ML observability, monitoring, and failure detection
Experience in FinTech or enterprise data platforms is an advantage
Company
Ouro
Ouro offers innovative financial services and technology solutions, focusing on financial empowerment.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Frances Pinedo
COO
Sara Walsh
Director, Global Partnerships
Company data provided by crunchbase