MLOps Engineer

Job Title: MLOps Engineer Location: Remote (Juno Beach, FL)- 90% Top Skills - Must HavesPython Aws data engineering machine learning Top Skills3+ years of experience working on building and deploying data pipelines in AWS- lambda, S3, ECS 1+ year of experience deploying ML and AI models to AWS - creating the DevOps pipelines to deploy Experience developing in Python Summary We are seeking a highly skilled MLOps Engineer with deep expertise in Amazon Web Services (AWS) to design, build, automate, and maintain machine learning infrastructure and deployment pipelines. This role bridges the gap between Data Science, Software Engineering, and Cloud Operations, ensuring that machine learning models are deployed, monitored, and scaled efficiently in production environments. The ideal candidate will have experience implementing CI/CD for machine learning, managing cloud-native architectures, containerization, infrastructure as code, and supporting the full machine learning lifecycle using AWS services. Key ResponsibilitiesMachine Learning Operations Design, implement, and maintain scalable MLOps pipelines for model training, testing, deployment, and monitoring. Automate ML workflows from data ingestion through model deployment and retraining. Establish model versioning, experiment tracking, and governance processes. Build and maintain feature stores and model registries. AWS Cloud Engineering Develop and manage machine learning infrastructure using AWS services such as: Amazon SageMaker AWS Lambda Amazon ECS/EKS EC2 S3 Glue Redshift CloudWatch Step Functions AWS CodePipeline AWS CodeBuild CI/CD & Automation Build CI/CD pipelines for ML applications and data science workflows. Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Automate deployment, testing, rollback, and monitoring processes. Integrate security and compliance controls into DevSecOps pipelines. Additional Skills & QualificationsIdeally would like someone in South FL that could come to office 1-2x per month Strong communication and proactive attitude NEE is stable, long term projects with lots of project work Business Drivers/Customer Impact deploying AI & ML models to AWS Cloud Why is the position open?Currently data scientists do not have someone to own the deployment and data pipelines but need this feature available External Communities Job Description90% remote MLOps Data Engineer who will focus on building data pipelines and deploying AI/ML models to AWS