Senior ML Ops Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Triunity Software, is seeking the following. Apply via Dice today! 🚀 Hiring: MLOps Engineer (AWS) | Contract Role 📍 Location Preference: Austin, TX (Highly Preferred) | CST (Second Preference) | Remote (US – Last Preference) 🔍 About the Role We are seeking a highly experienced MLOps Engineer to design, build, and manage scalable machine learning infrastructure on AWS. This role focuses on end-to-end ML lifecycle management—from automated training pipelines and experiment tracking to deployment, monitoring, and continuous retraining. You will play a key role in bridging Data Science and Engineering, ensuring reliable and efficient delivery of ML solutions at scale using AWS-native services and tools like SageMaker, Kubeflow, and MLflow. 🛠️ Key Responsibilities Design and manage scalable AWS-based MLOps infrastructure Build end-to-end ML pipelines using SageMaker Pipelines, Step Functions, Kubeflow Implement model versioning, experiment tracking, and model registry Develop and maintain CI/CD pipelines for ML workflows Deploy models using SageMaker endpoints (real-time & batch) Enable model monitoring, drift detection, and automated retraining Implement A/B testing and canary deployments Work closely with Data Scientists and Engineering teams Monitor systems using CloudWatch, X-Ray, CloudTrail ✅ Required Skills Strong experience in Python and ML frameworks (TensorFlow / PyTorch) Hands-on with AWS SageMaker & SageMaker Pipelines Expertise in MLflow, Kubeflow Experience with Docker, Kubernetes (Amazon EKS) Strong knowledge of CI/CD (CodePipeline, CodeBuild, CodeDeploy) Proficiency in AWS services (Lambda, S3, Step Functions, Bedrock) Experience with Infrastructure as Code (CloudFormation / CDK) Strong understanding of Model Monitoring, Drift Detection, Model Registry 🧠 Skills Evaluated Python | AWS SageMaker | SageMaker Pipelines | MLflow | Kubeflow | Docker | Kubernetes | Amazon EKS | CI/CD | CodePipeline | CodeBuild | MLOps | Model Registry | Model Monitoring | Drift Detection | Step Functions | CloudFormation | Infrastructure-as-Code